Author: Emily Petit
Publisher:
ISBN: 9781726042741
Category :
Languages : en
Pages : 102
Book Description
LIMITED TIME OFFER - NORMAL PRICE $12 ---- SPECIAL DISCOUNT TO ONLY $5.29 Graph Paper Notebook 1 Cm Square Grid: Squared Graphing Paper, Blank Quad Ruled, 1 Cm Grid Paper, 1 Cm Graphing Paper, 1 Cm Square Graph Paper, Large Size, Graph Paper Notebook 8.5 x 11 Grid Ruled Paper - Thin Gray Line - This graph paper notebook can use for Write, Draw, Mathematics, Laboratory, Study and Work. This notebook is simple design for daily use. For 100 pages, 8.5" x 11". This Notebook Contains: - Premium Matte Cover Design (Soft Cover) - Printed on High Quality Paper - Perfectly Large sized at 8.5" x 11" - 1x1 Cm Quad Ruled, 1 Squares per Cm, 1 Cm Squares - 100 Pages of Thin Gray Line (Grid Ruled)
Graph Paper Notebook 1 Cm Square Grid
Author: Emily Petit
Publisher:
ISBN: 9781726042741
Category :
Languages : en
Pages : 102
Book Description
LIMITED TIME OFFER - NORMAL PRICE $12 ---- SPECIAL DISCOUNT TO ONLY $5.29 Graph Paper Notebook 1 Cm Square Grid: Squared Graphing Paper, Blank Quad Ruled, 1 Cm Grid Paper, 1 Cm Graphing Paper, 1 Cm Square Graph Paper, Large Size, Graph Paper Notebook 8.5 x 11 Grid Ruled Paper - Thin Gray Line - This graph paper notebook can use for Write, Draw, Mathematics, Laboratory, Study and Work. This notebook is simple design for daily use. For 100 pages, 8.5" x 11". This Notebook Contains: - Premium Matte Cover Design (Soft Cover) - Printed on High Quality Paper - Perfectly Large sized at 8.5" x 11" - 1x1 Cm Quad Ruled, 1 Squares per Cm, 1 Cm Squares - 100 Pages of Thin Gray Line (Grid Ruled)
Publisher:
ISBN: 9781726042741
Category :
Languages : en
Pages : 102
Book Description
LIMITED TIME OFFER - NORMAL PRICE $12 ---- SPECIAL DISCOUNT TO ONLY $5.29 Graph Paper Notebook 1 Cm Square Grid: Squared Graphing Paper, Blank Quad Ruled, 1 Cm Grid Paper, 1 Cm Graphing Paper, 1 Cm Square Graph Paper, Large Size, Graph Paper Notebook 8.5 x 11 Grid Ruled Paper - Thin Gray Line - This graph paper notebook can use for Write, Draw, Mathematics, Laboratory, Study and Work. This notebook is simple design for daily use. For 100 pages, 8.5" x 11". This Notebook Contains: - Premium Matte Cover Design (Soft Cover) - Printed on High Quality Paper - Perfectly Large sized at 8.5" x 11" - 1x1 Cm Quad Ruled, 1 Squares per Cm, 1 Cm Squares - 100 Pages of Thin Gray Line (Grid Ruled)
Random Graphs and Complex Networks
Author: Remco van der Hofstad
Publisher: Cambridge University Press
ISBN: 110717287X
Category : Computers
Languages : en
Pages : 341
Book Description
This classroom-tested text is the definitive introduction to the mathematics of network science, featuring examples and numerous exercises.
Publisher: Cambridge University Press
ISBN: 110717287X
Category : Computers
Languages : en
Pages : 341
Book Description
This classroom-tested text is the definitive introduction to the mathematics of network science, featuring examples and numerous exercises.
The Probabilistic Method
Author: Noga Alon
Publisher: John Wiley & Sons
ISBN: 1119062071
Category : Mathematics
Languages : en
Pages : 396
Book Description
Praise for the Third Edition “Researchers of any kind of extremal combinatorics or theoretical computer science will welcome the new edition of this book.” - MAA Reviews Maintaining a standard of excellence that establishes The Probabilistic Method as the leading reference on probabilistic methods in combinatorics, the Fourth Edition continues to feature a clear writing style, illustrative examples, and illuminating exercises. The new edition includes numerous updates to reflect the most recent developments and advances in discrete mathematics and the connections to other areas in mathematics, theoretical computer science, and statistical physics. Emphasizing the methodology and techniques that enable problem-solving, The Probabilistic Method, Fourth Edition begins with a description of tools applied to probabilistic arguments, including basic techniques that use expectation and variance as well as the more advanced applications of martingales and correlation inequalities. The authors explore where probabilistic techniques have been applied successfully and also examine topical coverage such as discrepancy and random graphs, circuit complexity, computational geometry, and derandomization of randomized algorithms. Written by two well-known authorities in the field, the Fourth Edition features: Additional exercises throughout with hints and solutions to select problems in an appendix to help readers obtain a deeper understanding of the best methods and techniques New coverage on topics such as the Local Lemma, Six Standard Deviations result in Discrepancy Theory, Property B, and graph limits Updated sections to reflect major developments on the newest topics, discussions of the hypergraph container method, and many new references and improved results The Probabilistic Method, Fourth Edition is an ideal textbook for upper-undergraduate and graduate-level students majoring in mathematics, computer science, operations research, and statistics. The Fourth Edition is also an excellent reference for researchers and combinatorists who use probabilistic methods, discrete mathematics, and number theory. Noga Alon, PhD, is Baumritter Professor of Mathematics and Computer Science at Tel Aviv University. He is a member of the Israel National Academy of Sciences and Academia Europaea. A coeditor of the journal Random Structures and Algorithms, Dr. Alon is the recipient of the Polya Prize, The Gödel Prize, The Israel Prize, and the EMET Prize. Joel H. Spencer, PhD, is Professor of Mathematics and Computer Science at the Courant Institute of New York University. He is the cofounder and coeditor of the journal Random Structures and Algorithms and is a Sloane Foundation Fellow. Dr. Spencer has written more than 200 published articles and is the coauthor of Ramsey Theory, Second Edition, also published by Wiley.
Publisher: John Wiley & Sons
ISBN: 1119062071
Category : Mathematics
Languages : en
Pages : 396
Book Description
Praise for the Third Edition “Researchers of any kind of extremal combinatorics or theoretical computer science will welcome the new edition of this book.” - MAA Reviews Maintaining a standard of excellence that establishes The Probabilistic Method as the leading reference on probabilistic methods in combinatorics, the Fourth Edition continues to feature a clear writing style, illustrative examples, and illuminating exercises. The new edition includes numerous updates to reflect the most recent developments and advances in discrete mathematics and the connections to other areas in mathematics, theoretical computer science, and statistical physics. Emphasizing the methodology and techniques that enable problem-solving, The Probabilistic Method, Fourth Edition begins with a description of tools applied to probabilistic arguments, including basic techniques that use expectation and variance as well as the more advanced applications of martingales and correlation inequalities. The authors explore where probabilistic techniques have been applied successfully and also examine topical coverage such as discrepancy and random graphs, circuit complexity, computational geometry, and derandomization of randomized algorithms. Written by two well-known authorities in the field, the Fourth Edition features: Additional exercises throughout with hints and solutions to select problems in an appendix to help readers obtain a deeper understanding of the best methods and techniques New coverage on topics such as the Local Lemma, Six Standard Deviations result in Discrepancy Theory, Property B, and graph limits Updated sections to reflect major developments on the newest topics, discussions of the hypergraph container method, and many new references and improved results The Probabilistic Method, Fourth Edition is an ideal textbook for upper-undergraduate and graduate-level students majoring in mathematics, computer science, operations research, and statistics. The Fourth Edition is also an excellent reference for researchers and combinatorists who use probabilistic methods, discrete mathematics, and number theory. Noga Alon, PhD, is Baumritter Professor of Mathematics and Computer Science at Tel Aviv University. He is a member of the Israel National Academy of Sciences and Academia Europaea. A coeditor of the journal Random Structures and Algorithms, Dr. Alon is the recipient of the Polya Prize, The Gödel Prize, The Israel Prize, and the EMET Prize. Joel H. Spencer, PhD, is Professor of Mathematics and Computer Science at the Courant Institute of New York University. He is the cofounder and coeditor of the journal Random Structures and Algorithms and is a Sloane Foundation Fellow. Dr. Spencer has written more than 200 published articles and is the coauthor of Ramsey Theory, Second Edition, also published by Wiley.
Information Theory, Inference and Learning Algorithms
Author: David J. C. MacKay
Publisher: Cambridge University Press
ISBN: 9780521642989
Category : Computers
Languages : en
Pages : 694
Book Description
Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.
Publisher: Cambridge University Press
ISBN: 9780521642989
Category : Computers
Languages : en
Pages : 694
Book Description
Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.
Graph Pape 1x1 Grid Layout
Author: B. G. Publishing
Publisher: Createspace Independent Publishing Platform
ISBN: 9781723508561
Category :
Languages : en
Pages : 100
Book Description
This Graph Paper Notebook Journal also known as workbook paper is the standard lined paper used by students in graph papre. Grid ruled both sides with thin gray line. Non-Perforated, graph paper composition notebook, square grid notebook, graph paper bullet journal, Math teacher, Graphing linear equations, Aesthetic notebooks, Use for Write, Draw, Mathematics, Laboratory Notebook. Composition Notebook for College School / Teacher / Office / Student
Publisher: Createspace Independent Publishing Platform
ISBN: 9781723508561
Category :
Languages : en
Pages : 100
Book Description
This Graph Paper Notebook Journal also known as workbook paper is the standard lined paper used by students in graph papre. Grid ruled both sides with thin gray line. Non-Perforated, graph paper composition notebook, square grid notebook, graph paper bullet journal, Math teacher, Graphing linear equations, Aesthetic notebooks, Use for Write, Draw, Mathematics, Laboratory Notebook. Composition Notebook for College School / Teacher / Office / Student
Introduction to Applied Linear Algebra
Author: Stephen Boyd
Publisher: Cambridge University Press
ISBN: 1316518965
Category : Business & Economics
Languages : en
Pages : 477
Book Description
A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.
Publisher: Cambridge University Press
ISBN: 1316518965
Category : Business & Economics
Languages : en
Pages : 477
Book Description
A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.
Tropical Forest Census Plots
Author: Richard Condit
Publisher: Springer Science & Business Media
ISBN: 9783540641445
Category : Science
Languages : en
Pages : 236
Book Description
By way of a summary of all the data collected by the mapping teams, I will review what is entered on each of the data sheets. The map sheet was already de scribed in some detail (Fig. 2.2.1A), and includes a circle or a point for the location of each tree and the tree's tag number (the last three or four digits) written next to it. The range of tag numbers used in the quadrat should be written at the top of the sheet. The main data sheet is where most other information about each individual is recorded (Fig. 2.2.1B). As for all sheets, the quadrat number, the first date a quadrat is censused, and the mappers' names are recorded at the top. For each plant, there are blanks for the following information: subquadrat number, tag number, species name, dbh, codes, and problems. Subquadrat number and tag number are straight forward. Size in millimeters is entered in the dbh column, except for multiple stemmed plants or big trees, which get a blank dbh on the main data sheet. Species identification will be handled by separate taxonomy teams (chapter 2.3), but map pers should enter a species name if they know it.
Publisher: Springer Science & Business Media
ISBN: 9783540641445
Category : Science
Languages : en
Pages : 236
Book Description
By way of a summary of all the data collected by the mapping teams, I will review what is entered on each of the data sheets. The map sheet was already de scribed in some detail (Fig. 2.2.1A), and includes a circle or a point for the location of each tree and the tree's tag number (the last three or four digits) written next to it. The range of tag numbers used in the quadrat should be written at the top of the sheet. The main data sheet is where most other information about each individual is recorded (Fig. 2.2.1B). As for all sheets, the quadrat number, the first date a quadrat is censused, and the mappers' names are recorded at the top. For each plant, there are blanks for the following information: subquadrat number, tag number, species name, dbh, codes, and problems. Subquadrat number and tag number are straight forward. Size in millimeters is entered in the dbh column, except for multiple stemmed plants or big trees, which get a blank dbh on the main data sheet. Species identification will be handled by separate taxonomy teams (chapter 2.3), but map pers should enter a species name if they know it.
Parameterized Algorithms
Author: Marek Cygan
Publisher: Springer
ISBN: 3319212753
Category : Computers
Languages : en
Pages : 618
Book Description
This comprehensive textbook presents a clean and coherent account of most fundamental tools and techniques in Parameterized Algorithms and is a self-contained guide to the area. The book covers many of the recent developments of the field, including application of important separators, branching based on linear programming, Cut & Count to obtain faster algorithms on tree decompositions, algorithms based on representative families of matroids, and use of the Strong Exponential Time Hypothesis. A number of older results are revisited and explained in a modern and didactic way. The book provides a toolbox of algorithmic techniques. Part I is an overview of basic techniques, each chapter discussing a certain algorithmic paradigm. The material covered in this part can be used for an introductory course on fixed-parameter tractability. Part II discusses more advanced and specialized algorithmic ideas, bringing the reader to the cutting edge of current research. Part III presents complexity results and lower bounds, giving negative evidence by way of W[1]-hardness, the Exponential Time Hypothesis, and kernelization lower bounds. All the results and concepts are introduced at a level accessible to graduate students and advanced undergraduate students. Every chapter is accompanied by exercises, many with hints, while the bibliographic notes point to original publications and related work.
Publisher: Springer
ISBN: 3319212753
Category : Computers
Languages : en
Pages : 618
Book Description
This comprehensive textbook presents a clean and coherent account of most fundamental tools and techniques in Parameterized Algorithms and is a self-contained guide to the area. The book covers many of the recent developments of the field, including application of important separators, branching based on linear programming, Cut & Count to obtain faster algorithms on tree decompositions, algorithms based on representative families of matroids, and use of the Strong Exponential Time Hypothesis. A number of older results are revisited and explained in a modern and didactic way. The book provides a toolbox of algorithmic techniques. Part I is an overview of basic techniques, each chapter discussing a certain algorithmic paradigm. The material covered in this part can be used for an introductory course on fixed-parameter tractability. Part II discusses more advanced and specialized algorithmic ideas, bringing the reader to the cutting edge of current research. Part III presents complexity results and lower bounds, giving negative evidence by way of W[1]-hardness, the Exponential Time Hypothesis, and kernelization lower bounds. All the results and concepts are introduced at a level accessible to graduate students and advanced undergraduate students. Every chapter is accompanied by exercises, many with hints, while the bibliographic notes point to original publications and related work.
Graph Paper Notebook
Author: Graph Paper Graph Paper and More
Publisher: Createspace Independent Publishing Platform
ISBN: 9781539440260
Category :
Languages : en
Pages : 100
Book Description
Graph Paper Notebook 1 inch squares double-sided non-perforated thick solid lines Notebook size: 8.5 inches x 11 inches
Publisher: Createspace Independent Publishing Platform
ISBN: 9781539440260
Category :
Languages : en
Pages : 100
Book Description
Graph Paper Notebook 1 inch squares double-sided non-perforated thick solid lines Notebook size: 8.5 inches x 11 inches
D&D Adventure Grid
Author: Dungeons & Dragons
Publisher: National Geographic Books
ISBN: 0786966211
Category : Games & Activities
Languages : en
Pages : 0
Book Description
A tactical accessory for the world’s greatest roleplaying game This sturdy double-sided, grid-lined play surface is ideal for when your DUNGEONS & DRAGONS campaign gets tactical. One side features a stone floor good for dungeon and city encounters alike, while the other features terrain useable for a wide range of rural and wilderness encounters. Additionally, the D&D Adventure Grid folds up for easy transport and storage, and can be used with both wet-erase and dry-erase pens interchangeably. Pens and miniatures not included. The leader in providing contemporary fantasy entertainment, Dungeons & Dragons is the wellspring for the entire modern game industry, digital as well as analog. This newest edition draws from every prior edition to create a universally compelling play experience, and exemplifies the true spirit of a game that holds captive the hearts and minds of millions of players worldwide.
Publisher: National Geographic Books
ISBN: 0786966211
Category : Games & Activities
Languages : en
Pages : 0
Book Description
A tactical accessory for the world’s greatest roleplaying game This sturdy double-sided, grid-lined play surface is ideal for when your DUNGEONS & DRAGONS campaign gets tactical. One side features a stone floor good for dungeon and city encounters alike, while the other features terrain useable for a wide range of rural and wilderness encounters. Additionally, the D&D Adventure Grid folds up for easy transport and storage, and can be used with both wet-erase and dry-erase pens interchangeably. Pens and miniatures not included. The leader in providing contemporary fantasy entertainment, Dungeons & Dragons is the wellspring for the entire modern game industry, digital as well as analog. This newest edition draws from every prior edition to create a universally compelling play experience, and exemplifies the true spirit of a game that holds captive the hearts and minds of millions of players worldwide.