Iterate


Book Description

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




Applied Iterative Methods


Book Description

Applied Iterative Methods




Discrete Iterations


Book Description

a c 9 h In presenting this monograph, I would like to indicate both its orientation as well as my personal reasons for being interested in discrete iterations (that is, iterations on a generally very large,jinite set). While working in numerical analysis I have been interested in two main aspects: - the algorithmic aspect: an iterative algorithm is a mathematical entity which behaves in a dynamic fashion. Even if it is started far from a solution, it will often tend to get closer and closer. - the mathematical aspect: this consists of a coherent and rigorous analy sis of convergence, with the aid of mathematical tools (these tools are mainly the use of norms for convergence proofs, the use of matrix algebra and so on). One may for example refer to the algorithmic and mathematical aspects of Newton's method in JRn as well as to the QR algorithm for eigenvalues of matrices. These two algorithms seem to me to be the most fascinating algorithms in numerical analysis, since both show a remarkable practical efficiency even though there exist relatively few global convergence results for them.




Applied Iterative Methods


Book Description

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.




Iterate


Book Description

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.




New Splitting Iterative Methods for Solving Multidimensional Neutron Transport Equations


Book Description

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.




Convergence of Iterations for Linear Equations


Book Description

Assume that after preconditioning we are given a fixed point problem x = Lx + f (*) where L is a bounded linear operator which is not assumed to be symmetric and f is a given vector. The book discusses the convergence of Krylov subspace methods for solving fixed point problems (*), and focuses on the dynamical aspects of the iteration processes. For example, there are many similarities between the evolution of a Krylov subspace process and that of linear operator semigroups, in particular in the beginning of the iteration. A lifespan of an iteration might typically start with a fast but slowing phase. Such a behavior is sublinear in nature, and is essentially independent of whether the problem is singular or not. Then, for nonsingular problems, the iteration might run with a linear speed before a possible superlinear phase. All these phases are based on different mathematical mechanisms which the book outlines. The goal is to know how to precondition effectively, both in the case of "numerical linear algebra" (where one usually thinks of first fixing a finite dimensional problem to be solved) and in function spaces where the "preconditioning" corresponds to software which approximately solves the original problem.




Iterations


Book Description

Robert J. Sawyer -- bestselling author of Calculating God and Hominids -- has won both the Hugo and Nebula Awards for Best Novel of the Year. Here, with his first-ever collection of stories, he proves he's equally adept at shorter lengths. The tales gathered in Iterations have been nominated for the Hugo and Bram Stoker Awards, and have won the Aurora Award the Crime Writers of Canada's Arthur Ellis Award, and France's top SF award, Le Grand Prix de l'Imaginaire. Each story is prefaced by Sawyer's account of its genesis, and the collection as a whole is introduced by acclaimed science-fiction writer James Alan Gardner. In Iterations, you'll find out what really happened to the bones of Peking Man, discover the fact of physics that makes the pope abdicate, see Sherlock Holmes solve the greatest puzzle in modern science, transfer consciousness into a Tyrannosaurus rex, and visit the surface of a Dyson sphere. Book jacket.




Agile and Iterative Development


Book Description

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.




Iterative Learning Control for Multi-agent Systems Coordination


Book Description

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