Iterate

Iterate

Author: John Sharp

Publisher: MIT Press

Published: 2019-05-07

Total Pages: 315

ISBN-13: 026203963X

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How to confront, embrace, and learn from the unavoidable failures of creative practice; with case studies that range from winemaking to animation. Failure is an inevitable part of any creative practice. As game designers, John Sharp and Colleen Macklin have grappled with crises of creativity, false starts, and bad outcomes. Their tool for coping with the many varieties of failure: iteration, the cyclical process of conceptualizing, prototyping, testing, and evaluating. Sharp and Macklin have found that failure—often hidden, covered up, a source of embarrassment—is the secret ingredient of iterative creative process. In Iterate, they explain how to fail better. After laying out the four components of creative practice—intention, outcome, process, and evaluation—Sharp and Macklin describe iterative methods from a wide variety of fields. They show, for example, how Radiolab cohosts Jad Abumrad and Robert Krulwich experiment with radio as a storytelling medium; how professional skateboarder Amelia Bródka develops skateboarding tricks through trial and error; and how artistic polymath Miranda July explores human frailty through a variety of media and techniques. Whimsical illustrations tell parallel stories of iteration, as hard-working cartoon figures bake cupcakes, experiment with levitating office chairs, and think outside the box in toothbrush design (“let's add propellers!”). All, in their various ways, use iteration to transform failure into creative outcomes. With Iterate, Sharp and Macklin offer useful lessons for anyone interested in the creative process. Case Studies: Allison Tauziet, winemaker; Matthew Maloney, animator; Jad Abumrad and Robert Krulwich, Radiolab cohosts; Wylie Dufresne, chef; Nathalie Pozzi, architect, and Eric Zimmerman, game designer; Andy Milne, jazz musician; Amelia Bródka, skateboarder; Baratunde Thurston, comedian; Cas Holman, toy designer; Miranda July, writer and filmmaker


Iterate

Iterate

Author: Ed Muzio

Publisher: Greenleaf Book Group

Published: 2018-10-09

Total Pages: 270

ISBN-13: 0999191322

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Iterative Management Is Nimble Management ​This book is a guide to the iterative organization, the only kind of organization that can learn and adapt fast enough to keep up in today’s world. For anyone running a team of managers, or advising someone who does, it describes the fundamental behaviors that create iteration, explains how to implement them, and includes videos and online assessment to get the process started. Iterate defines what management really is and helps readers create a fast, flexible, focused management team that does it well. Ed Muzio, award-winning author, CEO, and “one of the planet’s clearest thinkers on management practice,” provides a research-based blueprint for a management team that will take the next best step for the organization in any situation. This book enables senior leadership, front line and middle management, and human resource executives to equip their teams with both knowledge and practical skills so that they not only understand their own purpose but also perform that purpose well amidst ever-changing conditions. Iterate will help readers create measurable business results on any management team, of any size, in any industry where complex work and frequent change are the norm.


Iteration

Iteration

Author: Jonathan Choate

Publisher:

Published: 1999

Total Pages: 0

ISBN-13: 9781559533546

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Iteration: A Tool Kit of Dynamics Activities "Iteration" is a time-honored process in mathematics, but recent technology allows us to look at iteration with a fresh eye. Share the astounding discoveries scientists and mathematicians have made in recent years and how those discoveries are used in many different areas of study. The book can be used in many mathematics courses, but is especially suited to an algebra class. Grades 7-12


Iterative Methods for the Solution of Equations

Iterative Methods for the Solution of Equations

Author: Joseph Frederick Traub

Publisher: American Mathematical Soc.

Published: 1982

Total Pages: 328

ISBN-13: 9780828403122

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From the Preface (1964): ``This book presents a general theory of iteration algorithms for the numerical solution of equations and systems of equations. The relationship between the quantity and the quality of information used by an algorithm and the efficiency of the algorithm is investigated. Iteration functions are divided into four classes depending on whether they use new information at one or at several points and whether or not they reuse old information. Known iteration functions are systematized and new classes of computationally effective iteration functions are introduced. Our interest in the efficient use of information is influenced by the widespread use of computing machines ... The mathematical foundations of our subject are treated with rigor, but rigor in itself is not the main object. Some of the material is of wider application ... Most of the material is new and unpublished. Every attempt has been made to keep the subject in proper historical perspective ... ''


Applied Iterative Methods

Applied Iterative Methods

Author: Louis A. Hageman

Publisher: Courier Corporation

Published: 2012-04-27

Total Pages: 414

ISBN-13: 0486153304

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This graduate-level text examines the practical use of iterative methods in solving large, sparse systems of linear algebraic equations and in resolving multidimensional boundary-value problems. 1981 edition. Includes 48 figures and 35 tables.


Iterative Approximation of Fixed Points

Iterative Approximation of Fixed Points

Author: Vasile Berinde

Publisher: Springer

Published: 2007-04-20

Total Pages: 338

ISBN-13: 3540722343

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This monograph gives an introductory treatment of the most important iterative methods for constructing fixed points of nonlinear contractive type mappings. For each iterative method considered, it summarizes the most significant contributions in the area by presenting some of the most relevant convergence theorems. It also presents applications to the solution of nonlinear operator equations as well as the appropriate error analysis of the main iterative methods.


Iterative Learning Control for Multi-agent Systems Coordination

Iterative Learning Control for Multi-agent Systems Coordination

Author: Shiping Yang

Publisher: John Wiley & Sons

Published: 2017-06-12

Total Pages: 246

ISBN-13: 1119189047

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A timely guide using iterative learning control (ILC) as a solution for multi-agent systems (MAS) challenges, showcasing recent advances and industrially relevant applications Explores the synergy between the important topics of iterative learning control (ILC) and multi-agent systems (MAS) Concisely summarizes recent advances and significant applications in ILC methods for power grids, sensor networks and control processes Covers basic theory, rigorous mathematics as well as engineering practice


Iterative Methods for Solving Linear Systems

Iterative Methods for Solving Linear Systems

Author: Anne Greenbaum

Publisher: SIAM

Published: 1997-01-01

Total Pages: 235

ISBN-13: 9781611970937

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Much recent research has concentrated on the efficient solution of large sparse or structured linear systems using iterative methods. A language loaded with acronyms for a thousand different algorithms has developed, and it is often difficult even for specialists to identify the basic principles involved. Here is a book that focuses on the analysis of iterative methods. The author includes the most useful algorithms from a practical point of view and discusses the mathematical principles behind their derivation and analysis. Several questions are emphasized throughout: Does the method converge? If so, how fast? Is it optimal, among a certain class? If not, can it be shown to be near-optimal? The answers are presented clearly, when they are known, and remaining important open questions are laid out for further study. Greenbaum includes important material on the effect of rounding errors on iterative methods that has not appeared in other books on this subject. Additional important topics include a discussion of the open problem of finding a provably near-optimal short recurrence for non-Hermitian linear systems; the relation of matrix properties such as the field of values and the pseudospectrum to the convergence rate of iterative methods; comparison theorems for preconditioners and discussion of optimal preconditioners of specified forms; introductory material on the analysis of incomplete Cholesky, multigrid, and domain decomposition preconditioners, using the diffusion equation and the neutron transport equation as example problems. A small set of recommended algorithms and implementations is included.