P Uniform Circuit Complexity PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download P Uniform Circuit Complexity PDF full book. Access full book title P Uniform Circuit Complexity.
Author | : Heribert Vollmer |
Publisher | : Springer Science & Business Media |
Total Pages | : 277 |
Release | : 2013-04-17 |
Genre | : Computers |
ISBN | : 3662039273 |
Download Introduction to Circuit Complexity Book in PDF, ePub and Kindle
An advanced textbook giving a broad, modern view of the computational complexity theory of boolean circuits, with extensive references, for theoretical computer scientists and mathematicians.
Author | : Eric Waren Allender |
Publisher | : |
Total Pages | : 42 |
Release | : 1986 |
Genre | : Computational complexity |
ISBN | : |
Download P-uniform Circuit Complexity Book in PDF, ePub and Kindle
Author | : Alan L. Selman |
Publisher | : Springer Science & Business Media |
Total Pages | : 412 |
Release | : 1986-05 |
Genre | : Computers |
ISBN | : 9783540164869 |
Download Structure in Complexity Theory Book in PDF, ePub and Kindle
Author | : Ingo Wegener |
Publisher | : |
Total Pages | : 502 |
Release | : 1987 |
Genre | : Algebra, Boolean |
ISBN | : |
Download The Complexity of Boolean Functions Book in PDF, ePub and Kindle
Author | : Jose L. Balcazar |
Publisher | : Springer Science & Business Media |
Total Pages | : 295 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 3642753574 |
Download Structural Complexity II Book in PDF, ePub and Kindle
This is the second volume of a two volume collection on Structural Complexity. This volume assumes as a prerequisite knowledge about the topics treated in Volume I, but the present volume itself is nearly self-contained. As in Volume I, each chapter of this book ends with a section entitled "Bibliographical Remarks", in which the relevant references for the chapter are briefly commented upon. These sections might also be of interest to those wanting an overview of the evolution of the field, as well as relevant related results which are not included in the text. Each chapter includes a section of exercises. The reader is encouraged to spend some time on them. Some results presented as exercises are occasionally used later in the text. A reference is provided for the most interesting and for the most useful exercises. Some exercises are marked with a • to indicate that, to the best knowledge of the authors, the solution has a certain degree of difficulty. Many topics from the field of Structural Complexity are not treated in depth, or not treated at all. The authors bear all responsibility for the choice of topics, which has been made based on the interest of the authors on each topic. Many friends and colleagues have made suggestions or corrections. In partic ular we would like to express our gratitude to Richard Beigel, Ron Book, Rafael Casas, Jozef Gruska, Uwe Schoning, Pekka Orponen, and Osamu Watanabe.
Author | : Ian Parberry |
Publisher | : MIT Press |
Total Pages | : 312 |
Release | : 1994 |
Genre | : Computers |
ISBN | : 9780262161480 |
Download Circuit Complexity and Neural Networks Book in PDF, ePub and Kindle
Neural networks usually work adequately on small problems but can run into trouble when they are scaled up to problems involving large amounts of input data. Circuit Complexity and Neural Networks addresses the important question of how well neural networks scale - that is, how fast the computation time and number of neurons grow as the problem size increases. It surveys recent research in circuit complexity (a robust branch of theoretical computer science) and applies this work to a theoretical understanding of the problem of scalability. Most research in neural networks focuses on learning, yet it is important to understand the physical limitations of the network before the resources needed to solve a certain problem can be calculated. One of the aims of this book is to compare the complexity of neural networks and the complexity of conventional computers, looking at the computational ability and resources (neurons and time) that are a necessary part of the foundations of neural network learning. Circuit Complexity and Neural Networks contains a significant amount of background material on conventional complexity theory that will enable neural network scientists to learn about how complexity theory applies to their discipline, and allow complexity theorists to see how their discipline applies to neural networks.
Author | : Sanjeev Arora |
Publisher | : Cambridge University Press |
Total Pages | : 609 |
Release | : 2009-04-20 |
Genre | : Computers |
ISBN | : 0521424267 |
Download Computational Complexity Book in PDF, ePub and Kindle
New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.
Author | : Osamu Watanabe |
Publisher | : Springer Science & Business Media |
Total Pages | : 111 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 364277735X |
Download Kolmogorov Complexity and Computational Complexity Book in PDF, ePub and Kindle
The mathematical theory of computation has given rise to two important ap proaches to the informal notion of "complexity": Kolmogorov complexity, usu ally a complexity measure for a single object such as a string, a sequence etc., measures the amount of information necessary to describe the object. Compu tational complexity, usually a complexity measure for a set of objects, measures the compuational resources necessary to recognize or produce elements of the set. The relation between these two complexity measures has been considered for more than two decades, and may interesting and deep observations have been obtained. In March 1990, the Symposium on Theory and Application of Minimal Length Encoding was held at Stanford University as a part of the AAAI 1990 Spring Symposium Series. Some sessions of the symposium were dedicated to Kolmogorov complexity and its relations to the computational complexity the ory, and excellent expository talks were given there. Feeling that, due to the importance of the material, some way should be found to share these talks with researchers in the computer science community, I asked the speakers of those sessions to write survey papers based on their talks in the symposium. In response, five speakers from the sessions contributed the papers which appear in this book.
Author | : Oded Goldreich |
Publisher | : Cambridge University Press |
Total Pages | : |
Release | : 2010-08-16 |
Genre | : Computers |
ISBN | : 1139490095 |
Download P, NP, and NP-Completeness Book in PDF, ePub and Kindle
The focus of this book is the P versus NP Question and the theory of NP-completeness. It also provides adequate preliminaries regarding computational problems and computational models. The P versus NP Question asks whether or not finding solutions is harder than checking the correctness of solutions. An alternative formulation asks whether or not discovering proofs is harder than verifying their correctness. It is widely believed that the answer to these equivalent formulations is positive, and this is captured by saying that P is different from NP. Although the P versus NP Question remains unresolved, the theory of NP-completeness offers evidence for the intractability of specific problems in NP by showing that they are universal for the entire class. Amazingly enough, NP-complete problems exist, and furthermore hundreds of natural computational problems arising in many different areas of mathematics and science are NP-complete.
Author | : Lane A. Hemaspaandra |
Publisher | : Springer Science & Business Media |
Total Pages | : 360 |
Release | : 1997-06-05 |
Genre | : Computers |
ISBN | : 9780387949734 |
Download Complexity Theory Book in PDF, ePub and Kindle
This volume provides a survey of the subject in the form of a collection of articles written by experts, that together provides a comprehensive guide to research. The editors'aim has been to provide an accessible description of the current stae of complexity theory, and to demonstrate the breadth of techniques and results that make this subject so exciting. Thus, papers run the gamut from sublogarithmic space to exponential time, and from new combinatorial techniques to interactive proof systems.