Author: Herman Yeung
Publisher: HY Publishing Company Limited
ISBN:
Category : Mathematics
Languages : en
Pages : 303
Book Description
HKDSE Maths (M2) 數學 (M2) Past Paper Solution 歷屆試題題解 內容包括︰ 2012 樣本試卷 Sample Paper 、 2012 練習卷 Practice Paper、 2012 至 (最新) 2023 HKDSE 的 試題題解 所有題解均有教學影片,方便同學更易理解及學習 https://youtube.com/playlist?list=PLzDe9mOi1K8qY9oNriuR4KyJLP9aywaSP [購買此 e-book,並不包括任何問書服務] 如欲獲取問書服務,必需購買 HKDSE 數學天書實體版 訂購天書詳情可 click 入 : https://sites.google.com/view/HermanYeung
HKDSE Maths (M2) 數學 (M2) 12年 Past Paper Solution (最新 2023)
HKDSE Maths 數學 12年 Past Paper Solution (最新 2023)
Author: Herman Yeung
Publisher: HY Publishing Company Limited
ISBN:
Category : Education
Languages : en
Pages : 516
Book Description
HKDSE Maths 數學 Past Paper Solution 歷屆試題題解 (包括 Paper 1 及 Paper 2 MC 選擇題 詳細題解) 內容包括︰ 2012 樣本試卷 Sample Paper 、 2012 練習卷 Practice Paper、 2012 至 (最新) 2023 HKDSE 的 試題題解 所有題解均有教學影片,方便同學更易理解及學習 https://www.youtube.com/playlist?list=PLzDe9mOi1K8qUwsow09TJIjFcaTCdmnSB [購買此 e-book,並不包括任何問書服務] 如欲獲取問書服務,必需購買 HKDSE 數學天書實體版 訂購天書詳情可 click 入 : https://sites.google.com/view/HermanYeung
Publisher: HY Publishing Company Limited
ISBN:
Category : Education
Languages : en
Pages : 516
Book Description
HKDSE Maths 數學 Past Paper Solution 歷屆試題題解 (包括 Paper 1 及 Paper 2 MC 選擇題 詳細題解) 內容包括︰ 2012 樣本試卷 Sample Paper 、 2012 練習卷 Practice Paper、 2012 至 (最新) 2023 HKDSE 的 試題題解 所有題解均有教學影片,方便同學更易理解及學習 https://www.youtube.com/playlist?list=PLzDe9mOi1K8qUwsow09TJIjFcaTCdmnSB [購買此 e-book,並不包括任何問書服務] 如欲獲取問書服務,必需購買 HKDSE 數學天書實體版 訂購天書詳情可 click 入 : https://sites.google.com/view/HermanYeung
The Pythagorean Proposition
Author: Elisha Scott Loomis
Publisher:
ISBN:
Category : Geometry
Languages : en
Pages : 226
Book Description
Publisher:
ISBN:
Category : Geometry
Languages : en
Pages : 226
Book Description
Probability and Statistics
Author: Michael J. Evans
Publisher: Macmillan
ISBN: 9780716747420
Category : Mathematics
Languages : en
Pages : 704
Book Description
Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor based on incorporating the computer to the course and an integrated approach to inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout.* Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. They'll get a thorough grounding in probability theory, and go beyond that to the theory of statistical inference and its applications. An integrated approach to inference is presented that includes the frequency approach as well as Bayesian methodology. Bayesian inference is developed as a logical extension of likelihood methods. A separate chapter is devoted to the important topic of model checking and this is applied in the context of the standard applied statistical techniques. Examples of data analyses using real-world data are presented throughout the text. A final chapter introduces a number of the most important stochastic process models using elementary methods. *Note: An appendix in the book contains Minitab code for more involved computations. The code can be used by students as templates for their own calculations. If a software package like Minitab is used with the course then no programming is required by the students.
Publisher: Macmillan
ISBN: 9780716747420
Category : Mathematics
Languages : en
Pages : 704
Book Description
Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor based on incorporating the computer to the course and an integrated approach to inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout.* Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. They'll get a thorough grounding in probability theory, and go beyond that to the theory of statistical inference and its applications. An integrated approach to inference is presented that includes the frequency approach as well as Bayesian methodology. Bayesian inference is developed as a logical extension of likelihood methods. A separate chapter is devoted to the important topic of model checking and this is applied in the context of the standard applied statistical techniques. Examples of data analyses using real-world data are presented throughout the text. A final chapter introduces a number of the most important stochastic process models using elementary methods. *Note: An appendix in the book contains Minitab code for more involved computations. The code can be used by students as templates for their own calculations. If a software package like Minitab is used with the course then no programming is required by the students.
Complex Analysis
Author: Elias M. Stein
Publisher: Princeton University Press
ISBN: 1400831156
Category : Mathematics
Languages : en
Pages : 398
Book Description
With this second volume, we enter the intriguing world of complex analysis. From the first theorems on, the elegance and sweep of the results is evident. The starting point is the simple idea of extending a function initially given for real values of the argument to one that is defined when the argument is complex. From there, one proceeds to the main properties of holomorphic functions, whose proofs are generally short and quite illuminating: the Cauchy theorems, residues, analytic continuation, the argument principle. With this background, the reader is ready to learn a wealth of additional material connecting the subject with other areas of mathematics: the Fourier transform treated by contour integration, the zeta function and the prime number theorem, and an introduction to elliptic functions culminating in their application to combinatorics and number theory. Thoroughly developing a subject with many ramifications, while striking a careful balance between conceptual insights and the technical underpinnings of rigorous analysis, Complex Analysis will be welcomed by students of mathematics, physics, engineering and other sciences. The Princeton Lectures in Analysis represents a sustained effort to introduce the core areas of mathematical analysis while also illustrating the organic unity between them. Numerous examples and applications throughout its four planned volumes, of which Complex Analysis is the second, highlight the far-reaching consequences of certain ideas in analysis to other fields of mathematics and a variety of sciences. Stein and Shakarchi move from an introduction addressing Fourier series and integrals to in-depth considerations of complex analysis; measure and integration theory, and Hilbert spaces; and, finally, further topics such as functional analysis, distributions and elements of probability theory.
Publisher: Princeton University Press
ISBN: 1400831156
Category : Mathematics
Languages : en
Pages : 398
Book Description
With this second volume, we enter the intriguing world of complex analysis. From the first theorems on, the elegance and sweep of the results is evident. The starting point is the simple idea of extending a function initially given for real values of the argument to one that is defined when the argument is complex. From there, one proceeds to the main properties of holomorphic functions, whose proofs are generally short and quite illuminating: the Cauchy theorems, residues, analytic continuation, the argument principle. With this background, the reader is ready to learn a wealth of additional material connecting the subject with other areas of mathematics: the Fourier transform treated by contour integration, the zeta function and the prime number theorem, and an introduction to elliptic functions culminating in their application to combinatorics and number theory. Thoroughly developing a subject with many ramifications, while striking a careful balance between conceptual insights and the technical underpinnings of rigorous analysis, Complex Analysis will be welcomed by students of mathematics, physics, engineering and other sciences. The Princeton Lectures in Analysis represents a sustained effort to introduce the core areas of mathematical analysis while also illustrating the organic unity between them. Numerous examples and applications throughout its four planned volumes, of which Complex Analysis is the second, highlight the far-reaching consequences of certain ideas in analysis to other fields of mathematics and a variety of sciences. Stein and Shakarchi move from an introduction addressing Fourier series and integrals to in-depth considerations of complex analysis; measure and integration theory, and Hilbert spaces; and, finally, further topics such as functional analysis, distributions and elements of probability theory.
Statistical Rethinking
Author: Richard McElreath
Publisher: CRC Press
ISBN: 1315362619
Category : Mathematics
Languages : en
Pages : 488
Book Description
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.
Publisher: CRC Press
ISBN: 1315362619
Category : Mathematics
Languages : en
Pages : 488
Book Description
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.
Operations Research
Author: Hamdy A. Taha
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 680
Book Description
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 680
Book Description
HKDSE Chemistry (Compulsory Part) 化學 (必修部分) 天書
Author: Herman Yeung
Publisher: HY Publishing Company Limited
ISBN:
Category : Science
Languages : en
Pages : 230
Book Description
Free Teaching Video 免費教學影片 : www.youtube.com/HermanYeung
Publisher: HY Publishing Company Limited
ISBN:
Category : Science
Languages : en
Pages : 230
Book Description
Free Teaching Video 免費教學影片 : www.youtube.com/HermanYeung
VLSI-SoC: Advanced Topics on Systems on a Chip
Author: Ricardo Reis
Publisher: Springer Science & Business Media
ISBN: 0387895574
Category : Computers
Languages : en
Pages : 315
Book Description
This book contains extended and revised versions of the best papers that were presented during the fifteenth edition of the IFIP/IEEE WG10.5 International Conference on Very Large Scale Integration, a global System-on-a-Chip Design & CAD conference. The 15th conference was held at the Georgia Institute of Technology, Atlanta, USA (October 15-17, 2007). Previous conferences have taken place in Edinburgh, Trondheim, Vancouver, Munich, Grenoble, Tokyo, Gramado, Lisbon, Montpellier, Darmstadt, Perth and Nice. The purpose of this conference, sponsored by IFIP TC 10 Working Group 10.5 and by the IEEE Council on Electronic Design Automation (CEDA), is to provide a forum to exchange ideas and show industrial and academic research results in the field of microelectronics design. The current trend toward increasing chip integration and technology process advancements brings about stimulating new challenges both at the physical and system-design levels, as well in the test of these systems. VLSI-SoC conferences aim to address these exciting new issues.
Publisher: Springer Science & Business Media
ISBN: 0387895574
Category : Computers
Languages : en
Pages : 315
Book Description
This book contains extended and revised versions of the best papers that were presented during the fifteenth edition of the IFIP/IEEE WG10.5 International Conference on Very Large Scale Integration, a global System-on-a-Chip Design & CAD conference. The 15th conference was held at the Georgia Institute of Technology, Atlanta, USA (October 15-17, 2007). Previous conferences have taken place in Edinburgh, Trondheim, Vancouver, Munich, Grenoble, Tokyo, Gramado, Lisbon, Montpellier, Darmstadt, Perth and Nice. The purpose of this conference, sponsored by IFIP TC 10 Working Group 10.5 and by the IEEE Council on Electronic Design Automation (CEDA), is to provide a forum to exchange ideas and show industrial and academic research results in the field of microelectronics design. The current trend toward increasing chip integration and technology process advancements brings about stimulating new challenges both at the physical and system-design levels, as well in the test of these systems. VLSI-SoC conferences aim to address these exciting new issues.
The Handbook of Model Rocketry
Author: George Harry Stine
Publisher: Prentice Hall
ISBN: 9780668053587
Category : Technology & Engineering
Languages : en
Pages : 388
Book Description
This National Association of Rocketry handbook covers designing and building your first model rocket to launching and recovery techniques, and setting up a launch area for competition.
Publisher: Prentice Hall
ISBN: 9780668053587
Category : Technology & Engineering
Languages : en
Pages : 388
Book Description
This National Association of Rocketry handbook covers designing and building your first model rocket to launching and recovery techniques, and setting up a launch area for competition.