Zbirka: Matematična teorija računanja
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Numerical Recipes Source Code CD-ROM 3rd Edition(2007) PRESS, WILLIAM H. (UNIVERSITY OF TEXAS, AUSTIN),TEUKOLSKY, SAUL A. (CORNELL UNIVERSITY, NEW YORK),VETTERLING, WILLIAM T.,FLANNERY, BRIAN P.This CD-ROM contains complete source code in C++ for the brand-new Numerical Recipes, Third Edition, plus source code from all earlier editions.135,68 €
PRESS, WILLIAM H. (UNIVERSITY OF TEXAS, AUSTIN),TEUKOLSKY, SAUL A. (CORNELL UNIVERSITY, NEW YORK),VETTERLING, WILLIAM T.,FLANNERY, BRIAN P.
Numerical Recipes Source Code CD-ROM 3rd Edition
This CD-ROM contains complete source code in C++ for the brand-new Numerical Recipes, Third Edition, plus source code from all earlier editions.
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Introduction to the Theory of Computation(2021) SIPSER, MICHAEL (MASSACHUSETTS INSTITUTE OF TECHNOLOGY)Vezava: Mehka133,35 €
SIPSER, MICHAEL (MASSACHUSETTS INSTITUTE OF TECHNOLOGY)
Introduction to the Theory of Computation
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Introduction to Lattices and Order(2002) DAVEY, B. A. (LA TROBE UNIVERSITY, VICTORIA),PRIESTLEY, H. A. (UNIVERSITY OF OXFORD)The explosive development of theoretical computer science in recent years has influenced this new edition: a fresh treatment of fixpoints testifies to this and Galois connections now feature prominently. Classroom experience has led to numerous pedagogicaVezava: Mehka76,31 €
DAVEY, B. A. (LA TROBE UNIVERSITY, VICTORIA),PRIESTLEY, H. A. (UNIVERSITY OF OXFORD)
Introduction to Lattices and Order
The explosive development of theoretical computer science in recent years has influenced this new edition: a fresh treatment of fixpoints testifies to this and Galois connections now feature prominently. Classroom experience has led to numerous pedagogica
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Logic in Computer Science(2004) HUTH, MICHAEL (IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE, LONDON),RYAN, MARK (UNIVERSITY OF BIRMINGHAM)This second edition continues to provide a clear introduction to formal reasoning which is both relevant to the needs of modern computer science and rigorous enough for practical application. Improvements have been made throughout, with many extra and expVezava: Mehka93,27 €
HUTH, MICHAEL (IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE, LONDON),RYAN, MARK (UNIVERSITY OF BIRMINGHAM)
Logic in Computer Science
This second edition continues to provide a clear introduction to formal reasoning which is both relevant to the needs of modern computer science and rigorous enough for practical application. Improvements have been made throughout, with many extra and exp
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Introduction to Quantum Computing(2006) KAYE, PHILLIP (INSTITUTE FOR QUANTUM COMPUTING, UNIVERSITY OF WATERLOO, ONTARIO, CANADA),LAFLAMME, RAYMOND (INSTITUTE FOR QUANTUM COMPUTING, UNIVERSITY OF WATERLOO, ONTARIO, CANADA),MOSCA, MICHELE (INSTITUTE FOR QUANTUM COMPUTING, UNIVERSITY OF WATERLOO, ONTARIO, CANADA)This concise, accessible introduction to quantum computing is aimed at advanced undergraduate and beginning graduate students from a variety of scientific backgrounds. The text is technically detailed and clearly illustrated throughout with diagrams and eVezava: Mehka103,47 €
KAYE, PHILLIP (INSTITUTE FOR QUANTUM COMPUTING, UNIVERSITY OF WATERLOO, ONTARIO, CANADA),LAFLAMME, RAYMOND (INSTITUTE FOR QUANTUM COMPUTING, UNIVERSITY OF WATERLOO, ONTARIO, CANADA),MOSCA, MICHELE (INSTITUTE FOR QUANTUM COMPUTING, UNIVERSITY OF WATERLOO, ONTARIO, CANADA)
Introduction to Quantum Computing
This concise, accessible introduction to quantum computing is aimed at advanced undergraduate and beginning graduate students from a variety of scientific backgrounds. The text is technically detailed and clearly illustrated throughout with diagrams and e
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Compressive Imaging: Structure, Sampling, Learning(2021) ADCOCK, BEN (SIMON FRASER UNIVERSITY, BRITISH COLUMBIA),HANSEN, ANDERS C. (UNIVERSITY OF CAMBRIDGE)This book provides a practical introduction to compressive imaging (with examples and code), an overview of core topics, and a comprehensive, rigorous treatment of the subject. It caters to graduate students, postdocs and faculty in mathematics, computerVezava: Trda106,84 €
ADCOCK, BEN (SIMON FRASER UNIVERSITY, BRITISH COLUMBIA),HANSEN, ANDERS C. (UNIVERSITY OF CAMBRIDGE)
Compressive Imaging: Structure, Sampling, Learning
This book provides a practical introduction to compressive imaging (with examples and code), an overview of core topics, and a comprehensive, rigorous treatment of the subject. It caters to graduate students, postdocs and faculty in mathematics, computer
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Bandit Algorithms(2020) LATTIMORE, TOR (UNIVERSITY OF ALBERTA),SZEPESVARI, CSABA (UNIVERSITY OF ALBERTA)Decision-making in the face of uncertainty is a challenge in machine learning, and the multi-armed bandit model is a common framework to address it. This comprehensive introduction is an excellent reference for established researchers and a resource for gVezava: Trda71,22 €
LATTIMORE, TOR (UNIVERSITY OF ALBERTA),SZEPESVARI, CSABA (UNIVERSITY OF ALBERTA)
Bandit Algorithms
Decision-making in the face of uncertainty is a challenge in machine learning, and the multi-armed bandit model is a common framework to address it. This comprehensive introduction is an excellent reference for established researchers and a resource for g
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Probabilistic Numerics(2022) HENNIG, PHILIPP (EBERHARD-KARLS-UNIVERSITAT TUBINGEN, GERMANY),OSBORNE, MICHAEL A. (UNIVERSITY OF OXFORD),KERSTING, HANS P. (ECOLE NORMALE SUPERIEURE, PARIS)This text provides a first comprehensive introduction to probabilistic numerics, aimed at Masters' and PhD students, as well as postgraduate researchers in artificial intelligence, computer science, statistics, and applied mathematics. It contains extensiVezava: Trda93,27 €
HENNIG, PHILIPP (EBERHARD-KARLS-UNIVERSITAT TUBINGEN, GERMANY),OSBORNE, MICHAEL A. (UNIVERSITY OF OXFORD),KERSTING, HANS P. (ECOLE NORMALE SUPERIEURE, PARIS)
Probabilistic Numerics
This text provides a first comprehensive introduction to probabilistic numerics, aimed at Masters' and PhD students, as well as postgraduate researchers in artificial intelligence, computer science, statistics, and applied mathematics. It contains extensi
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Quantum Computing: From Alice to Bob(2022) FLAREND, ALICE (PHYSICS TEACHER, PHYSICS TEACHER, BELLWOOD-ANTIS HIGH SCHOOL),HILBORN, ROBERT (ASSOCIATE EXECUTIVE OFFICER, ASSOCIATE EXECUTIVE OFFICER, AMHERST COLLEGE)A distinctive and accessible introduction to quantum information science and quantum computing, this textbook provides a solid conceptual and formal understanding of quantum states and entanglement for undergraduate students and upper-level secondary schoVezava: Mehka65,21 €
FLAREND, ALICE (PHYSICS TEACHER, PHYSICS TEACHER, BELLWOOD-ANTIS HIGH SCHOOL),HILBORN, ROBERT (ASSOCIATE EXECUTIVE OFFICER, ASSOCIATE EXECUTIVE OFFICER, AMHERST COLLEGE)
Quantum Computing: From Alice to Bob
A distinctive and accessible introduction to quantum information science and quantum computing, this textbook provides a solid conceptual and formal understanding of quantum states and entanglement for undergraduate students and upper-level secondary scho
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Introduction to Python Programming for Scientists and Engineers(2022) LIN, JOHNNY WEI-BING,AIZENMAN, HANNAH (CITY COLLEGE, CITY UNIVERSITY OF NEW YORK),MANETTE CARTAS ESPINEL, ERIN,GUNNERSON, KIM,LIU, JOANNEThis textbook introduces beginning to intermediate science and engineering students to programming with Python. It encourages a stronger understanding of programming concepts through numerous science and engineering examples and Jupyter notebook problems,Vezava: Mehka93,27 €
LIN, JOHNNY WEI-BING,AIZENMAN, HANNAH (CITY COLLEGE, CITY UNIVERSITY OF NEW YORK),MANETTE CARTAS ESPINEL, ERIN,GUNNERSON, KIM,LIU, JOANNE
Introduction to Python Programming for Scientists and Engineers
This textbook introduces beginning to intermediate science and engineering students to programming with Python. It encourages a stronger understanding of programming concepts through numerous science and engineering examples and Jupyter notebook problems,
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Data-Driven Science and Engineering(2022) BRUNTON, STEVEN L. (UNIVERSITY OF WASHINGTON),KUTZ, J. NATHAN (UNIVERSITY OF WASHINGTON)Data-driven discovery is revolutionizing how we model, predict, and control complex systems. This text integrates emerging machine learning and data science methods for engineering and science communities. Now with Python and MATLAB®, new chapters on reinVezava: Trda84,79 €
BRUNTON, STEVEN L. (UNIVERSITY OF WASHINGTON),KUTZ, J. NATHAN (UNIVERSITY OF WASHINGTON)
Data-Driven Science and Engineering
Data-driven discovery is revolutionizing how we model, predict, and control complex systems. This text integrates emerging machine learning and data science methods for engineering and science communities. Now with Python and MATLAB®, new chapters on rein
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Discrete Mathematics(2002) BIGGS, NORMAN L. (, PROFESSOR OF MATHEMATICS, LONDON SCHOOL OF ECONOMICS, UNIVERSITY OF LONDON)Includes chapters on statements and proof, logical framework, and natural numbers and the integers. This edition also features over 1000 tailored exercises and an accompanying website containing hints and solutions to all exercises. It is suitable for matVezava: Mehka111,95 €
BIGGS, NORMAN L. (, PROFESSOR OF MATHEMATICS, LONDON SCHOOL OF ECONOMICS, UNIVERSITY OF LONDON)
Discrete Mathematics
Includes chapters on statements and proof, logical framework, and natural numbers and the integers. This edition also features over 1000 tailored exercises and an accompanying website containing hints and solutions to all exercises. It is suitable for mat
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Statistics for Data Scientists(2022) KAPTEIN, MAURITS,VAN DEN HEUVEL, EDWINThis book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students.Vezava: Mehka66,14 €
KAPTEIN, MAURITS,VAN DEN HEUVEL, EDWIN
Statistics for Data Scientists
This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students.
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Statistical Field Theory for Neural Networks(2020) HELIAS, MORITZ,DAHMEN, DAVIDThis book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks.Vezava: Mehka99,21 €
HELIAS, MORITZ,DAHMEN, DAVID
Statistical Field Theory for Neural Networks
This book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks.
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Statistical Learning with Math and Python(2021) SUZUKI, JOEThis textbook approaches the essence of machine learning and data science by considering math problems and building Python programs. As the preliminary part, Chapter 1 provides a concise introduction to linear algebra, which will help novices read furthVezava: Mehka49,60 €
SUZUKI, JOE
Statistical Learning with Math and Python
This textbook approaches the essence of machine learning and data science by considering math problems and building Python programs. As the preliminary part, Chapter 1 provides a concise introduction to linear algebra, which will help novices read furth
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