Optimization

The New York Times-bestselling author of Start With Why, Leaders Eat Last, and Together Is Better offers a bold new approach to business strategy by asking one question: are you playing the finite game or the infinite game? In The Infinite Game, Sinek applies game theory to explo...re how great businesses achieve long-lasting success. He finds that building long-term value and healthy, enduring growth - that playing the infinite game - is the only thing that matters to your business.
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We are unprepared for the greatest discovery of modern science. Scientists are confident that there is alien life across the universe yet we have not moved beyond our perception of 'aliens' as Hollywood stereotypes. The time has come to abandon our fixation on alien monsters and ...place our expectations on solid scientific footing. Using his own expert understanding of life on Earth and Darwin's theory of evolution - which must apply throughout the universe - Cambridge zoologist Dr Arik Kershenbaum explains what alien life must be like. Observing fishes whose electrical pulses indicate social status, we can see that conditions on other planets might allow for communication by electricity. As there was evolutionary pressure to wriggle along a sea floor, Earthling animals tend to have left/right symmetry; on planets where creatures evolved mid-air or in soupy tar - to be ready to move in any or multiple directions - they might be lacking any symmetry at all. Dr Kershenbaum uses cutting-edge science to paint an entertaining and compelling picture of extra-terrestrial life. Moreover, as The Zoologist's Guide to the Galaxy is the story of communication, intelligence, cooperation and technology, on Earth and in space, we see how life really works - and what it means to be human.
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I am hard pressed to think of another book that can match the combination of practical insights and reading enjoyment. -Steven Levitt

This book presents recent developments and new trends in Combinatorial Optimization. Combinatorial Optimization is an active research area that has applications in many domains such as communications, network design, VLSI, scheduling, production, computational biology.

Volume 2 applies the linear algebra concepts presented in Volume 1 to optimization problems which frequently occur throughout machine learning. This book blends theory with practice by not only carefully discussing the mathematical under pinnings of each optimization technique bu...t by applying these techniques to linear programming, support vector machines (SVM), principal component analysis (PCA), and ridge regression. Volume 2 begins by discussing preliminary concepts of optimization theory such as metric spaces, derivatives, and the Lagrange multiplier technique for finding extrema of real valued functions. The focus then shifts to the special case of optimizing a linear function over a region determined by affine constraints, namely linear programming. Highlights include careful derivations and applications of the simplex algorithm, the dual-simplex algorithm, and the primal-dual algorithm. The theoretical heart of this book is the mathematically rigorous presentation of various nonlinear optimization methods, including but not limited to gradient decent, the Karush-Kuhn-Tucker (KKT) conditions, Lagrangian duality, alternating direction method of multipliers (ADMM), and the kernel method. These methods are carefully applied to hard margin SVM, soft margin SVM, kernel PCA, ridge regression, lasso regression, and elastic-net regression. Matlab programs implementing these methods are included.
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