Iterate and Optimize

In this book, Platt, Truant, and Wright give you all the nitty-gritty they've learned and implemented since their last nonfiction publishing bestseller.

Author: Sean Platt

Publisher: Realm & Sands

ISBN: 1629550752

Category: Language Arts & Disciplines

Page: 404

View: 896


The top-to-bottom guide to taking your writing and publishing business from "Square One" to "Stratosphere." Iterate and Optimize is a behind-the-scenes peek into how indie publishing company Sterling & Stone grew their three-author team into juggernaut -- and a next-level guide for authors looking to explode their sales and do the same. In Write. Publish. Repeat., bestselling authors Johnny B. Truant, Sean Platt, and David Wright explained how to build a thriving international publishing empire with no luck required. Rather than resting on their laurels in the years since WPR was written, they've been evolving their once-fledgling business a little bit at a time: expanding to eight publishing imprints, ten high-profile podcasts, a coordinated staff working behind the scenes, millions of words published and hundreds of thousands of books in the hands of eager readers. In Iterate and Optimize, they show you how they grew their business from the ground up in tiny, incremental steps -- and give you a road map so that you can do it, too. More than "just another self-publishing guide," this book delves deep into the business behind the success of Platt, Truant, and Wright's company Sterling & Stone, making it the essential "advanced course" follow up to Write. Publish. Repeat. It explains how to tweak your processes over time while maintaining momentum, wringing more profit out of assets you already have. You'll learn how to diversify and create more products with less work, generate more money doing what you already do now, and set yourself up so you can build a readership who will support you in the specific ways you intend to evolve. You'll learn how to grow from a bare-bones, minimum-viable-product business into a slightly larger business or an outright empire -- not with massive, flashy (and risky) moves, but by the sustainable magic of incremental growth: small improvements made consistently over time. In this book, Platt, Truant, and Wright give you all the nitty-gritty they've learned and implemented since their last nonfiction publishing bestseller. You'll learn how to "iterate and optimize" the way you handle: - Exclusive versus "going wide" distribution - International and multi-format sales - Advertising and marketing - Optimizing book covers, descriptions, and metadata to increase conversion - Slowly and sustainable building your assistants or contractors, plus outsourcing right - Advanced product funnels, including the changed role of free books - Networking and in-person meet-ups - Workflow management and systems - The writing and pre-writing process so you can "write better faster" - Social media - Podcasting - Crowdfunding - what works and what doesn't - And much more

Computational Optimization Methods and Algorithms

method, is used to solve the resulting system of nonlinear equations at each iteration [61] to avoid finite difference ... The user must supply an objective function and initial iterate and then optimization is terminated based on a ...

Author: Slawomir Koziel

Publisher: Springer

ISBN: 9783642208591

Category: Technology & Engineering

Page: 283

View: 743


Computational optimization is an important paradigm with a wide range of applications. In virtually all branches of engineering and industry, we almost always try to optimize something - whether to minimize the cost and energy consumption, or to maximize profits, outputs, performance and efficiency. In many cases, this search for optimality is challenging, either because of the high computational cost of evaluating objectives and constraints, or because of the nonlinearity, multimodality, discontinuity and uncertainty of the problem functions in the real-world systems. Another complication is that most problems are often NP-hard, that is, the solution time for finding the optimum increases exponentially with the problem size. The development of efficient algorithms and specialized techniques that address these difficulties is of primary importance for contemporary engineering, science and industry. This book consists of 12 self-contained chapters, contributed from worldwide experts who are working in these exciting areas. The book strives to review and discuss the latest developments concerning optimization and modelling with a focus on methods and algorithms for computational optimization. It also covers well-chosen, real-world applications in science, engineering and industry. Main topics include derivative-free optimization, multi-objective evolutionary algorithms, surrogate-based methods, maximum simulated likelihood estimation, support vector machines, and metaheuristic algorithms. Application case studies include aerodynamic shape optimization, microwave engineering, black-box optimization, classification, economics, inventory optimization and structural optimization. This graduate level book can serve as an excellent reference for lecturers, researchers and students in computational science, engineering and industry.

Functional and Constraint Logic Programming

... the fixpoint of functionreduce: optimize :: (A -> xQuery) -> (A -> xQuery) optimize X = iterate reduce X iterate ... Y else iterate G Y where Y = (G X) For instance, the running example is optimized as follows: Toy> optimize xexam ...

Author: Herbert Kuchen

Publisher: Springer Science & Business Media

ISBN: 9783642225307

Category: Computers

Page: 157

View: 652


This book constitutes the refereed conference proceedings of the 20th International Workshop on Functional and Constraint Logic Programming, WFLP 2011, held in Odense, Denmark, in July 2011 as Part of the 13th International Symposium on Principles and Practice of Declarative Programming (PPDP 2011), the 22st International Symposium on Logic-Based Program Synthesis and Transformation (LOPSTR 2011), and the 4th International Workshop on Approaches and Applications of Inductive Programming (AAIP 2011). From the 10 papers submitted, 9 were accepted for presentation the proceeding. The papers cover current research in all areas of functional and logic programming as well as the integration of constraint logic and object-oriented programming, and term rewriting.

Topology Design Methods for Structural Optimization

Clear button: Selecting this button clears an optimization run and resets the iteration counter to 1. First button: Selecting this button displays the topology obtained in the first iteration of the optimization process. 3.

Author: Osvaldo M. Querin

Publisher: Butterworth-Heinemann

ISBN: 9780080999890

Category: Mathematics

Page: 204

View: 666


Topology Design Methods for Structural Optimization provides engineers with a basic set of design tools for the development of 2D and 3D structures subjected to single and multi-load cases and experiencing linear elastic conditions. Written by an expert team who has collaborated over the past decade to develop the methods presented, the book discusses essential theories with clear guidelines on how to use them. Case studies and worked industry examples are included throughout to illustrate practical applications of topology design tools to achieve innovative structural solutions. The text is intended for professionals who are interested in using the tools provided, but does not require in-depth theoretical knowledge. It is ideal for researchers who want to expand the methods presented to new applications, and includes a companion website with related tools to assist in further study. Provides design tools and methods for innovative structural design, focusing on the essential theory Includes case studies and real-life examples to illustrate practical application, challenges, and solutions Features accompanying software on a companion website to allow users to get up and running fast with the methods introduced Includes input from an expert team who has collaborated over the past decade to develop the methods presented

System Modeling and Optimization XX

2.1 The filter Unfortunately, due to the locally convergent nature of Newton's iteration, the step sk may not always be very good. Thus, having computed (in a so far unspecified manner) a step sk from our current iterate ack, ...

Author: E.W. Sachs

Publisher: Springer

ISBN: 9780387356990

Category: Technology & Engineering

Page: 330

View: 917


System Modeling and Optimization XX deals with new developments in the areas of optimization, optimal control and system modeling. The themes range across various areas of optimization: continuous and discrete, numerical and analytical, finite and infinite dimensional, deterministic and stochastic, static and dynamic, theory and applications, foundations and case studies. Besides some classical topics, modern areas are also presented in the contributions, including robust optimization, filter methods, optimization of power networks, data mining and risk control. This volume contains invited and selected papers from presentations at the 20th IFIP TC7 Conference on System Modeling and Optimization, which took place at the University of Trier, Germany from July 23 to 27, 2001, and which was sponsored by the International Federation for Information Processing (IFIP).

Large Scale Optimization with Applications

... During the iterative repetition of step 4 the choice of a starting node no in the current iteration different from the starting node in the previous iteration guarantees the subsequent optimization of the trajectory at all nodes .

Author: Lorenz T. Biegler

Publisher: Springer Science & Business Media

ISBN: 0387982876

Category: Business & Economics

Page: 324

View: 648


With contributions by specialists in optimization and practitioners in the fields of aerospace engineering, chemical engineering, and fluid and solid mechanics, the major themes include an assessment of the state of the art in optimization algorithms as well as challenging applications in design and control, in the areas of process engineering and systems with partial differential equation models.

Network Optimization

This pattern would be repeated a finite number of times, with ki representing the iteration number at which the ith new path is added to the working set. Eventually, this method would converge to a solution of the overall problem, ...

Author: Panos M. Pardalos

Publisher: Springer Science & Business Media

ISBN: 9783642591792

Category: Business & Economics

Page: 488

View: 755


Network optimization is important in the modeling of problems and processes from such fields as engineering, computer science, operations research, transportation, telecommunication, decision support systems, manufacturing, and airline scheduling. Recent advances in data structures, computer technology, and algorithm development have made it possible to solve classes of network optimization problems that until recently were intractable. The refereed papers in this volume reflect the interdisciplinary efforts of a large group of scientists from academia and industry to model and solve complicated large-scale network optimization problems.

Convex Optimization for Signal Processing and Communications

10.2 Newton's method and barrier function The barrier method to be introduced in the next section is an iterative method that, at each iteration, solves an updated convex optimization problem with only the equality constraints using the ...

Author: Chong-Yung Chi

Publisher: CRC Press

ISBN: 9781315349800

Category: Technology & Engineering

Page: 432

View: 127


Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications provides fundamental background knowledge of convex optimization, while striking a balance between mathematical theory and applications in signal processing and communications. In addition to comprehensive proofs and perspective interpretations for core convex optimization theory, this book also provides many insightful figures, remarks, illustrative examples, and guided journeys from theory to cutting-edge research explorations, for efficient and in-depth learning, especially for engineering students and professionals. With the powerful convex optimization theory and tools, this book provides you with a new degree of freedom and the capability of solving challenging real-world scientific and engineering problems.

Progress in Optimization

A "big” iteration is one step of the algorithm of global optimization and the corresponding iterates are denoted yk. ... However, 20 usually will coincide with yk for some k, as an iterate of a "big" iteration will be also an initial ...

Author: Andrew Eberhard

Publisher: Springer Science & Business Media

ISBN: 9781461332855

Category: Mathematics

Page: 302

View: 611


Although the monograph Progress in Optimization I: Contributions from Aus tralasia grew from the idea of publishing a proceedings of the Fourth Optimiza tion Day, held in July 1997 at the Royal Melbourne Institute of Technology, the focus soon changed to a refereed volume in optimization. The intention is to publish a similar book annually, following each Optimization Day. The idea of having an annual Optimization Day was conceived by Barney Glover; the first of these Optimization Days was held in 1994 at the University of Ballarat. Barney hoped that such a yearly event would bring together the many, but widely dispersed, researchers in Australia who were publishing in optimization and related areas such as control. The first Optimization Day event was followed by similar conferences at The University of New South Wales (1995), The University of Melbourne (1996), the Royal Melbourne Institute of Technology (1997), and The University of Western Australia (1998). The 1999 conference will return to Ballarat University, being organized by Barney's long-time collaborator Alex Rubinov. In recent years the Optimization Day has been held in conjunction with other locally-held national or international conferences. This has widened the scope of the monograph with contributions not only coming from researchers in Australia and neighboring regions but also from their collaborators in Europe and North America.

Recent Advances in Optimization

2 The iteration method Let X be a real vector space. Let us consider some problem with data d in some set D and solution set S a subset of X. We assume that there exists a family of self mappings PA(d) of X depending upon the data and ...

Author: Peter Gritzmann

Publisher: Springer Science & Business Media

ISBN: 9783642590733

Category: Mathematics

Page: 379

View: 952


This book presents recent theoretical and practical aspects in the field of optimization and convex analysis. The topics covered in this volume include: - Equilibrium models in economics. - Control theory and semi-infinite programming. - Ill-posed variational problems. - Global optimization. - Variational methods in image restoration. - Nonsmooth optimization. - Duality theory in convex and nonconvex optimization. - Methods for large scale problems.

Multidisciplinary Design Optimization Supported by Knowledge Based Engineering

consecutive BB receives its input either from the Iteration Start Data or the preceding BBs output (red field). ... As to the third method, optimization, in general, may be used for the solution of simultaneous nonlinear equations by ...

Author: Jaroslaw Sobieszczanski-Sobieski

Publisher: John Wiley & Sons

ISBN: 9781118897096

Category: Technology & Engineering

Page: 392

View: 648


Multidisciplinary Design Optimization supported by Knowledge Based Engineering supports engineers confronting this daunting and new design paradigm. It describes methodology for conducting a system design in a systematic and rigorous manner that supports human creativity to optimize the design objective(s) subject to constraints and uncertainties. The material presented builds on decades of experience in Multidisciplinary Design Optimization (MDO) methods, progress in concurrent computing, and Knowledge Based Engineering (KBE) tools. Key features: Comprehensively covers MDO and is the only book to directly link this with KBE methods Provides a pathway through basic optimization methods to MDO methods Directly links design optimization methods to the massively concurrent computing technology Emphasizes real world engineering design practice in the application of optimization methods Multidisciplinary Design Optimization supported by Knowledge Based Engineering is a one-stop-shop guide to the state-of-the-art tools in the MDO and KBE disciplines for systems design engineers and managers. Graduate or post-graduate students can use it to support their design courses, and researchers or developers of computer-aided design methods will find it useful as a wide-ranging reference.

Modeling Simulation and Optimization of Complex Processes

Note that for notational convenience we combine here differential and algebraic states to y ≡ (x,z)T. We then perform, starting in y(0)n+1 := yPn+1 ,1≤ ln ≤ 3 Newton-like iterations with an iteration Matrix Mn to search the root of ...

Author: Hans Georg Bock

Publisher: Springer Science & Business Media

ISBN: 9783540794097

Category: Computers

Page: 666

View: 320


This proceedings volume covers the broad interdisciplinary spectrum of scientific computing and presents recent advances in theory, development of methods, and applications in practice.


Our approach carries out each iteration to optimize 60 spline control points in approximately 1 ms on a standard desktop computer. sampled initial guesses. For each topological variant, our algorithm found a unique solution irrespective ...

Author: Nicholas Roy

Publisher: MIT Press

ISBN: 9780262519687

Category: Technology & Engineering

Page: 480

View: 824


Selected papers presented at Robotics: Science and Systems (RSS) 2012, held July 9-13 at the University of Sydney, Sydney, NSW, Australia.

Official Gazette of the United States Patent and Trademark Office


Author: United States. Patent and Trademark Office


ISBN: PSU:000033105833

Category: Patents


View: 544


Computational Combinatorial Optimization

In what follows, we will call gk the g(uk) computed by the oracle of Assumption 23, when called at some iterate uk . 4.1 Subgradients and Ellipsoid Methods Let u K be the current iterate. Consider the subgradient relation (20) for u ...

Author: Michael Jünger

Publisher: Springer Science & Business Media

ISBN: 9783540428770

Category: Mathematics

Page: 310

View: 521


This tutorial contains written versions of seven lectures on Computational Combinatorial Optimization given by leading members of the optimization community. The lectures introduce modern combinatorial optimization techniques, with an emphasis on branch and cut algorithms and Lagrangian relaxation approaches. Polyhedral combinatorics as the mathematical backbone of successful algorithms are covered from many perspectives, in particular, polyhedral projection and lifting techniques and the importance of modeling are extensively discussed. Applications to prominent combinatorial optimization problems, e.g., in production and transport planning, are treated in many places; in particular, the book contains a state-of-the-art account of the most successful techniques for solving the traveling salesman problem to optimality.

Optimization Based Clearance of Flight Control Laws

Several methods to compute better Lyapunov functions exist, including V-s iterations [5,6,7,10], bilinear optimization [14], and the use of simulation data [16,18]. The V-s iteration is now described in more detail.

Author: Andreas Varga

Publisher: Springer

ISBN: 9783642226274

Category: Technology & Engineering

Page: 452

View: 779


This book summarizes the main achievements of the EC funded 6th Framework Program project COFCLUO – Clearance of Flight Control Laws Using Optimization. This project successfully contributed to the achievement of a top-level objective to meet society’s needs for a more efficient, safer and environmentally friendly air transport by providing new techniques and tools for the clearance of flight control laws. This is an important part of the certification and qualification process of an aircraft – a costly and time-consuming process for the aeronautical industry. The overall objective of the COFCLUO project was to develop and apply optimization techniques to the clearance of flight control laws in order to improve efficiency and reliability. In the book, the new techniques are explained and benchmarked against traditional techniques currently used by the industry. The new techniques build on mathematical criteria derived from the certification and qualification requirements together with suitable models of the aircraft. The development of these criteria and models are also presented in the book. Because of wider applicability, the optimization-based clearance of flight control laws will open up the possibility to design innovative aircraft that today are out of the scope using classical clearance tools. Optimization-based clearance will not only increase safety but it will also simplify the whole certification and qualification process, thus significantly reduce cost. The achieved speedup will also support rapid modeling and prototyping and reduce “time to market”.

Elements of Structural Optimization

This algorithm begins from an initial point x0 by first minimizing f along the steepest descent direction, so = —V f(x0) = go, to the new iterate x1. The direction for the next iteration st must be constructed so that it is Q-conjugate ...

Author: Raphael T. Haftka

Publisher: Springer Science & Business Media

ISBN: 9789401125505

Category: Technology & Engineering

Page: 481

View: 929


The field of structural optimization is still a relatively new field undergoing rapid changes in methods and focus. Until recently there was a severe imbalance between the enormous amount of literature on the subject, and the paucity of applications to practical design problems. This imbalance is being gradually redressed. There is still no shortage of new publications, but there are also exciting applications of the methods of structural optimizations in the automotive, aerospace, civil engineering, machine design and other engineering fields. As a result of the growing pace of applications, research into structural optimization methods is increasingly driven by real-life problems. t-.Jost engineers who design structures employ complex general-purpose software packages for structural analysis. Often they do not have any access to the source program, and even more frequently they have only scant knowledge of the details of the structural analysis algorithms used in this software packages. Therefore the major challenge faced by researchers in structural optimization is to develop methods that are suitable for use with such software packages. Another major challenge is the high computational cost associated with the analysis of many complex real-life problems. In many cases the engineer who has the task of designing a structure cannot afford to analyze it more than a handful of times.

Engineering Optimization 2014

By changing the optimization sub-problem of Eq.(10) to its inverse (Tu et al. ... assessment of Eqs.(12) and (10) for every iterate, it uses serial single loops to efficiently optimize the objective function and assess its reliability, ...

Author: Hélder Rodrigues

Publisher: CRC Press

ISBN: 9781315732107

Category: Technology & Engineering

Page: 1078

View: 767


Optimization methodologies are fundamental instruments to tackle the complexity of today's engineering processes. Engineering Optimization 2014 is dedicated to optimization methods in engineering, and contains the papers presented at the 4th International Conference on Engineering Optimization (ENGOPT2014, Lisbon, Portugal, 8-11 September 2014). The book will be of interest to engineers, applied mathematicians, and computer scientists working on research, development and practical applications of optimization methods in engineering.

Integrated Methods for Optimization

A popular hill-climbing procedure is subgradient optimization, which moves from one iterate to another in directions of steepest ascent until a local maximum is found. This approach has the advantage that the relevant subgradients are ...

Author: John N. Hooker

Publisher: Springer Science & Business Media

ISBN: 9781461419006

Category: Business & Economics

Page: 642

View: 232


The first edition of Integrated Methods for Optimization was published in January 2007. Because the book covers a rapidly developing field, the time is right for a second edition. The book provides a unified treatment of optimization methods. It brings ideas from mathematical programming (MP), constraint programming (CP), and global optimization (GO)into a single volume. There is no reason these must be learned as separate fields, as they normally are, and there are three reasons they should be studied together. (1) There is much in common among them intellectually, and to a large degree they can be understood as special cases of a single underlying solution technology. (2) A growing literature reports how they can be profitably integrated to formulate and solve a wide range of problems. (3) Several software packages now incorporate techniques from two or more of these fields. The book provides a unique resource for graduate students and practitioners who want a well-rounded background in optimization methods within a single course of study. Engineering students are a particularly large potential audience, because engineering optimization problems often benefit from a combined approach—particularly where design, scheduling, or logistics are involved. The text is also of value to those studying operations research, because their educational programs rarely cover CP, and to those studying computer science and artificial intelligence (AI), because their curric ula typically omit MP and GO. The text is also useful for practitioners in any of these areas who want to learn about another, because it provides a more concise and accessible treatment than other texts. The book can cover so wide a range of material because it focuses on ideas that arerelevant to the methods used in general-purpose optimization and constraint solvers. The book focuses on ideas behind the methods that have proved useful in general-purpose optimization and constraint solvers, as well as integrated solvers of the present and foreseeable future. The second edition updates results in this area and includes several major new topics: Background material in linear, nonlinear, and dynamic programming. Network flow theory, due to its importance in filtering algorithms. A chapter on generalized duality theory that more explicitly develops a unifying primal-dual algorithmic structure for optimization methods. An extensive survey of search methods from both MP and AI, using the primal-dual framework as an organizing principle. Coverage of several additional global constraints used in CP solvers. The book continues to focus on exact as opposed to heuristic methods. It is possible to bring heuristic methods into the unifying scheme described in the book, and the new edition will retain the brief discussion of how this might be done.