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Will We Ever Have a Quantum Computer?(2020) DYAKONOV, MIKHAIL I.This book addresses a broad community of physicists, engineers, computer scientists and industry professionals, as well as the general public, who are aware of the unprecedented media hype surrounding the supposedly imminent new era of quantum computing.Vezava: Mehka83,95 €
DYAKONOV, MIKHAIL I.
Will We Ever Have a Quantum Computer?
This book addresses a broad community of physicists, engineers, computer scientists and industry professionals, as well as the general public, who are aware of the unprecedented media hype surrounding the supposedly imminent new era of quantum computing.
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MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence(2017) KIM PHILVezava: Trda83,95 €
KIM PHIL
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence
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Computational Diffusion MRI(2019)This volume gathers papers presented at the Workshop on Computational Diffusion MRI (CDMRI’18), which was held under the auspices of the International Conference on Medical Image Computing and Computer Assisted Intervention in Granada, Spain on SeptemberVezava: Trda44,29 €
Computational Diffusion MRI
This volume gathers papers presented at the Workshop on Computational Diffusion MRI (CDMRI’18), which was held under the auspices of the International Conference on Medical Image Computing and Computer Assisted Intervention in Granada, Spain on September
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Core Data Analysis: Summarization, Correlation, and Visualization(2019) MIRKIN, BORISVezava: Mehka83,95 €
MIRKIN, BORIS
Core Data Analysis: Summarization, Correlation, and Visualization
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Course in Mathematical Statistics and Large Sample Theory(2016) BHATTACHARYA, RABI,LIN, LIZHEN,PATRANGENARU, VICTORThis graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretiVezava: Trda151,58 €
BHATTACHARYA, RABI,LIN, LIZHEN,PATRANGENARU, VICTOR
Course in Mathematical Statistics and Large Sample Theory
This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoreti
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Effective DevOps(2016) DAVIS, JENNIFER,DANIELS, RYNSome companies think that adopting devops means bringing in specialists or a host of new tools. With this practical guide, you'll learn why devops is a professional and cultural movement that calls for change from inside your organization.Vezava: Mehka55,57 €
DAVIS, JENNIFER,DANIELS, RYN
Effective DevOps
Some companies think that adopting devops means bringing in specialists or a host of new tools. With this practical guide, you'll learn why devops is a professional and cultural movement that calls for change from inside your organization.
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Modeling Companion for Software Practitioners(2018) BORGER, EGON,RASCHKE, ALEXANDERVezava: Mehka52,47 €
BORGER, EGON,RASCHKE, ALEXANDER
Modeling Companion for Software Practitioners
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Graph Theory(2017) DIESTEL, REINHARDFrom the reviews: “This outstanding book cannot be substituted with any other book on the present textbook market. a hell of a good book.” MAA Reviews “A highlight of the book is what is by far the best account in print of the Seymour-Robertson theory oVezava: Trda99,21 €
DIESTEL, REINHARD
Graph Theory
From the reviews: “This outstanding book cannot be substituted with any other book on the present textbook market. a hell of a good book.” MAA Reviews “A highlight of the book is what is by far the best account in print of the Seymour-Robertson theory o
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Sparse Polynomial Approximation of High-Dimensional Functions(2022) ADCOCK, BEN,BRUGIAPAGLIA, SIMONE,WEBSTER, CLAYTON G.Provides an in-depth treatment of sparse polynomial approximation methods. These methods have emerged as useful tools for various high-dimensional approximation tasks arising in a range of applications in computational science and engineering.Vezava: Mehka163,01 €
ADCOCK, BEN,BRUGIAPAGLIA, SIMONE,WEBSTER, CLAYTON G.
Sparse Polynomial Approximation of High-Dimensional Functions
Provides an in-depth treatment of sparse polynomial approximation methods. These methods have emerged as useful tools for various high-dimensional approximation tasks arising in a range of applications in computational science and engineering.
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Essential Maths Skills for AS/A Level Computer Science(2016) GAVIN CRADDOCKVezava: Mehka24,41 €
GAVIN CRADDOCK
Essential Maths Skills for AS/A Level Computer Science
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Mathematical and Computer Programming Techniques for Computer Graphics(2005) COMNINOS, PETERMathematical and Computer Programming Techniques for Computer Graphics introduces the mathematics and related computer programming techniques used in Computer Graphics.Vezava: Trda73,82 €
COMNINOS, PETER
Mathematical and Computer Programming Techniques for Computer Graphics
Mathematical and Computer Programming Techniques for Computer Graphics introduces the mathematics and related computer programming techniques used in Computer Graphics.
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Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning(2020) GALLIER, JEAN H (UNIV OF PENNSYLVANIA, USA),QUAINTANCE, JOCELYN (UNIV OF PENNSYLVANIA, USA)Vezava: Mehka132,89 €
GALLIER, JEAN H (UNIV OF PENNSYLVANIA, USA),QUAINTANCE, JOCELYN (UNIV OF PENNSYLVANIA, USA)
Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning
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Independent Random Sampling Methods(2018) MARTINO, LUCA,LUENGO, DAVID,MIGUEZ, JOAQUINThis book systematically addresses the design and analysis of efficient techniques for independent random sampling.Vezava: Trda170,09 €
MARTINO, LUCA,LUENGO, DAVID,MIGUEZ, JOAQUIN
Independent Random Sampling Methods
This book systematically addresses the design and analysis of efficient techniques for independent random sampling.
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