Geometry and Complexity Theory

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

Two central problems in computer science are P vs NP and the complexity of matrix multiplication. The first is also a leading candidate for the greatest unsolved problem in mathematics. The second is of enormous practical and theoretical importance. Algebraic geometry and representation theory provide fertile ground for advancing work on these problems and others in complexity. This introduction to algebraic complexity theory for graduate students and researchers in computer science and mathematics features concrete examples that demonstrate the application of geometric techniques to real world problems. Written by a noted expert in the field, it offers numerous open questions to motivate future research. Complexity theory has rejuvenated classical geometric questions and brought different areas of mathematics together in new ways. This book will show the beautiful, interesting, and important questions that have arisen as a result.

Author(s): J. M. Landsberg
Series: Cambridge Studies in Advanced Mathematics
Edition: 1
Publisher: Cambridge University Press
Year: 2017

Language: English
Pages: 350
Tags: Computers & Technology;Business Technology;Certification;Computer Science;Databases & Big Data;Digital Audio, Video & Photography;Games & Strategy Guides;Graphics & Design;Hardware & DIY;History & Culture;Internet & Social Media;Mobile Phones, Tablets & E-Readers;Networking & Cloud Computing;Operating Systems;Programming;Programming Languages;Security & Encryption;Software;Web Development & Design;Algebraic Geometry;Geometry & Topology;Mathematics;Science & Math;Computer Science;Algorithms;Artif