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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
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
Applied Iterative Methods
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.
This is the definitive guide for managers and students to agile and iterativedevelopment methods: what they are, how they work, how to implement them, andwhy they should.
This monograph contains the results of our joint research over the last ten years on the logic of the fixed point operation. The intended au dience consists of graduate students and research scientists interested in mathematical treatments of semantics. We assume the reader has a good mathematical background, although we provide some prelimi nary facts in Chapter 1. Written both for graduate students and research scientists in theoret ical computer science and mathematics, the book provides a detailed investigation of the properties of the fixed point or iteration operation. Iteration plays a fundamental role in the theory of computation: for example, in the theory of automata, in formal language theory, in the study of formal power series, in the semantics of flowchart algorithms and programming languages, and in circular data type definitions. It is shown that in all structures that have been used as semantical models, the equational properties of the fixed point operation are cap tured by the axioms describing iteration theories. These structures include ordered algebras, partial functions, relations, finitary and in finitary regular languages, trees, synchronization trees, 2-categories, and others.
Mathematics of Computing -- General.
This thesis focuses on iterative methods for the treatment of the steady state neutron transport equation in slab geometry, bounded convex domain of Rn (n = 2,3) and in 1-D spherical geometry. We introduce a generic Alternate Direction Implicit (ADI)-like iterative method based on positive definite and m-accretive splitting (PAS) for linear operator equations with operators admitting such splitting. This method converges unconditionally and its SOR acceleration yields convergence results similar to those obtained in presence of finite dimensional systems with matrices possessing the Young property A. The proposed methods are illustrated by a numerical example in which an integro-differential problem of transport theory is considered. In the particular case where the positive definite part of the linear equation operator is self-adjoint, an upper bound for the contraction factor of the iterative method, which depends solely on the spectrum of the self-adjoint part is derived. As such, this method has been successfully applied to the neutron transport equation in slab and 2-D cartesian geometry and in 1-D spherical geometry. The self-adjoint and m-accretive splitting leads to a fixed point problem where the operator is a 2 by 2 matrix of operators. An infinite dimensional adaptation of minimal residual and preconditioned minimal residual algorithms using Gauss-Seidel, symmetric Gauss-Seidel and polynomial preconditioning are then applied to solve the matrix operator equation. Theoretical analysis shows that the methods converge unconditionally and upper bounds of the rate of residual decreasing which depend solely on the spectrum of the self-adjoint part of the operator are derived. The convergence of theses solvers is illustrated numerically on a sample neutron transport problem in 2-D geometry. Various test cases, including pure scattering and optically thick domains are considered.
Toeplitz and Toeplitz-related systems arise in a variety of applications in mathematics and engineering, especially in signal and image processing.