Author: John Lawlor
Publisher: Penguin
ISBN: 9781557880208
Category : Transportation
Languages : en
Pages : 164
Book Description
Offers formulas and equations for calculating brake horsepower and torque, displacement, stroke, bore, compression ratio, and more
Auto Math Handbook
Author: John Lawlor
Publisher: Penguin
ISBN: 9781557880208
Category : Transportation
Languages : en
Pages : 164
Book Description
Offers formulas and equations for calculating brake horsepower and torque, displacement, stroke, bore, compression ratio, and more
Publisher: Penguin
ISBN: 9781557880208
Category : Transportation
Languages : en
Pages : 164
Book Description
Offers formulas and equations for calculating brake horsepower and torque, displacement, stroke, bore, compression ratio, and more
Automotive Math Handbook
Author: Forbes Aird
Publisher: Motorbooks
ISBN: 9780760306963
Category : Mathematics
Languages : en
Pages : 144
Book Description
Offers formulas and equations for calculating brake horsepower and torque, displacement, stroke, bore, and compression ratio.
Publisher: Motorbooks
ISBN: 9780760306963
Category : Mathematics
Languages : en
Pages : 144
Book Description
Offers formulas and equations for calculating brake horsepower and torque, displacement, stroke, bore, and compression ratio.
Auto Math Handbook
Author: John Lawlor
Publisher: HP Books
ISBN: 9781557885548
Category : Mathematics
Languages : en
Pages : 122
Book Description
Since 1991, John Lawlor's Auto Math Handbookhas been a standard reference for auto engineers, students, racers, and enthusiasts. The formulas, calculations, and equations in this book are the foundation for any car or engine building project. Engineer and racing engine builder Bill Hancock has updated and expanded the original edition with revised sections on- Displacement, bore, and stroke Brake horsepower and torque Air capacity and volumetric efficiency Center of gravity, weight distribution, and g force New sections on instrument error and calibration, rolling resistance, aerodynamics, planimeter usage, computer programs, and moment of inertia are presented in the same easy-to-read format using real-world applications.
Publisher: HP Books
ISBN: 9781557885548
Category : Mathematics
Languages : en
Pages : 122
Book Description
Since 1991, John Lawlor's Auto Math Handbookhas been a standard reference for auto engineers, students, racers, and enthusiasts. The formulas, calculations, and equations in this book are the foundation for any car or engine building project. Engineer and racing engine builder Bill Hancock has updated and expanded the original edition with revised sections on- Displacement, bore, and stroke Brake horsepower and torque Air capacity and volumetric efficiency Center of gravity, weight distribution, and g force New sections on instrument error and calibration, rolling resistance, aerodynamics, planimeter usage, computer programs, and moment of inertia are presented in the same easy-to-read format using real-world applications.
Auto Math Handbook
Auto Math Handbook
Author: John Lawlor
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 0
Book Description
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 0
Book Description
Performance Automotive Engine Math
Author: John Baechtel
Publisher: CarTech Inc
ISBN: 1934709476
Category : Technology & Engineering
Languages : en
Pages : 155
Book Description
A reference book of math equations used in developing high-performance racing engines, including calculating engine displacement, compression ratio, torque and horsepower, intake and header size, carb size, VE and BSFC, injector sizing and piston speed. --book cover.
Publisher: CarTech Inc
ISBN: 1934709476
Category : Technology & Engineering
Languages : en
Pages : 155
Book Description
A reference book of math equations used in developing high-performance racing engines, including calculating engine displacement, compression ratio, torque and horsepower, intake and header size, carb size, VE and BSFC, injector sizing and piston speed. --book cover.
Handbook of Mathematics
Author: Ilja N. Bronštejn
Publisher: Springer
ISBN: 3662256517
Category : Technology & Engineering
Languages : en
Pages : 989
Book Description
Publisher: Springer
ISBN: 3662256517
Category : Technology & Engineering
Languages : en
Pages : 989
Book Description
Automath Handbook: Mathematical Calculations, Theory, and Formulas for Automotive Enthusiats
Author: John Lawlor
Publisher:
ISBN: 9781557880208
Category : Otomobiller- Matematik
Languages : en
Pages : 146
Book Description
Publisher:
ISBN: 9781557880208
Category : Otomobiller- Matematik
Languages : en
Pages : 146
Book Description
Mathematics for Machine Learning
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
ISBN: 1108569323
Category : Computers
Languages : en
Pages : 392
Book Description
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Publisher: Cambridge University Press
ISBN: 1108569323
Category : Computers
Languages : en
Pages : 392
Book Description
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
How Math Explains the World
Author: D. Stein
Publisher: Harper Collins
ISBN: 0061828688
Category : Education
Languages : en
Pages : 320
Book Description
In How Math Explains the World, mathematician Stein reveals how seemingly arcane mathematical investigations and discoveries have led to bigger, more world-shaking insights into the nature of our world. In the four main sections of the book, Stein tells the stories of the mathematical thinkers who discerned some of the most fundamental aspects of our universe. From their successes and failures, delusions, and even duels, the trajectories of their innovations—and their impact on society—are traced in this fascinating narrative. Quantum mechanics, space-time, chaos theory and the workings of complex systems, and the impossibility of a "perfect" democracy are all here. Stein's book is both mind-bending and practical, as he explains the best way for a salesman to plan a trip, examines why any thought you could have is imbedded in the number p , and—perhaps most importantly—answers one of the modern world's toughest questions: why the garage can never get your car repaired on time. Friendly, entertaining, and fun, How Math Explains the World is the first book by one of California's most popular math teachers, a veteran of both "math for poets" and Princeton's Institute for Advanced Studies. And it's perfect for any reader wanting to know how math makes both science and the world tick.
Publisher: Harper Collins
ISBN: 0061828688
Category : Education
Languages : en
Pages : 320
Book Description
In How Math Explains the World, mathematician Stein reveals how seemingly arcane mathematical investigations and discoveries have led to bigger, more world-shaking insights into the nature of our world. In the four main sections of the book, Stein tells the stories of the mathematical thinkers who discerned some of the most fundamental aspects of our universe. From their successes and failures, delusions, and even duels, the trajectories of their innovations—and their impact on society—are traced in this fascinating narrative. Quantum mechanics, space-time, chaos theory and the workings of complex systems, and the impossibility of a "perfect" democracy are all here. Stein's book is both mind-bending and practical, as he explains the best way for a salesman to plan a trip, examines why any thought you could have is imbedded in the number p , and—perhaps most importantly—answers one of the modern world's toughest questions: why the garage can never get your car repaired on time. Friendly, entertaining, and fun, How Math Explains the World is the first book by one of California's most popular math teachers, a veteran of both "math for poets" and Princeton's Institute for Advanced Studies. And it's perfect for any reader wanting to know how math makes both science and the world tick.