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Ferrari, Mario & Guilio Ferrari & Dan Barry & Bryan Bonahoom & Sivan Toledo & David Astolfo & Lawrence Whitman & Joshua Whitman & Guy Ziv & John Brost & Rebeca Dunn-Krahn & Richard Li & Chris Minamyer & Deepak Patil & Mac Ruiz & Christian S
- Softcover
Anbieter: Mahler Books, PFLUGERVILLE, TX, USAMahler Books
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EUR 13,69
EUR 4,40 VersandVersand innerhalb von USAAnzahl: 1 verfügbar
Paperback. Zustand: Very Good. This book is in very good condition; no remainder marks. It does have some shelfwear scratching. Inside pages are clean. ; 191 X 24.64 X 235 millimeters; 480 pages.

Sprache: Englisch
Verlag: Society for Industrial & Applied Mathematics,U.S., New York, 2020
- Softcover
Anbieter: Grand Eagle Retail, Bensenville, IL, USAGrand Eagle Retail
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EUR 104,65
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Paperback. Zustand: new. Paperback. The location of an object can often be determined from indirect measurements using a process called estimation. This book explains the mathematical formulation of location-estimation problems and the statistical properties of these mathematical models. It also presents algorithms that are used to resolve these models to obtain location estimates, including the simplest linear models, nonlinear models (location estimation using satellite navigation systems and estimation of the signal arrival time from those satellites), dynamical systems (estimation of an entire path taken by a vehicle), and models with integer ambiguities (GPS location estimation that is centimeter-level accurate).Location Estimation from the Ground Up clearly presents analytic and algorithmic topics not covered in other books, including simple algorithms for Kalman filtering and smoothing, the solution of separable nonlinear optimization problems, estimation with integer ambiguities, and the implicit-function approach to estimating covariance matrices when the estimator is a minimizer or maximizer. It takes a unified approach to estimation while highlighting the differences between classes of estimation problems. The only book on estimation written for math and computer science students and graduates, it includes problems at the end of each chapter, many with solutions, to help readers deepen their understanding of the material and guide them through small programming projects that apply theory and algorithms to the solution of real-world location-estimation problems.The books core audience consists of engineers, including software engineers and algorithm developers, and graduate students who work on location-estimation projects and who need help translating the theory into algorithms, code, and deep understanding of the problem in front of them. Instructors in mathematics, computer science, and engineering may also find the book of interest as a primary or supplementary text for courses in location estimation and navigation. The location of an object can often be determined from indirect measurements using a process called estimation. This book explains the mathematical formulation of location-estimation problems and the statistical properties of these mathematical models. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Sprache: Englisch
Verlag: Society for Industrial & Applied Mathematics,U.S., New York, 2020
- Softcover
Anbieter: AussieBookSeller, Truganina, VIC, AustralienAussieBookSeller
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EUR 91,34
EUR 32,88 VersandVersand von Australien nach USAAnzahl: 1 verfügbar
Paperback. Zustand: new. Paperback. The location of an object can often be determined from indirect measurements using a process called estimation. This book explains the mathematical formulation of location-estimation problems and the statistical properties of these mathematical models. It also presents algorithms that are used to resolve these models to obtain location estimates, including the simplest linear models, nonlinear models (location estimation using satellite navigation systems and estimation of the signal arrival time from those satellites), dynamical systems (estimation of an entire path taken by a vehicle), and models with integer ambiguities (GPS location estimation that is centimeter-level accurate).Location Estimation from the Ground Up clearly presents analytic and algorithmic topics not covered in other books, including simple algorithms for Kalman filtering and smoothing, the solution of separable nonlinear optimization problems, estimation with integer ambiguities, and the implicit-function approach to estimating covariance matrices when the estimator is a minimizer or maximizer. It takes a unified approach to estimation while highlighting the differences between classes of estimation problems. The only book on estimation written for math and computer science students and graduates, it includes problems at the end of each chapter, many with solutions, to help readers deepen their understanding of the material and guide them through small programming projects that apply theory and algorithms to the solution of real-world location-estimation problems.The books core audience consists of engineers, including software engineers and algorithm developers, and graduate students who work on location-estimation projects and who need help translating the theory into algorithms, code, and deep understanding of the problem in front of them. Instructors in mathematics, computer science, and engineering may also find the book of interest as a primary or supplementary text for courses in location estimation and navigation. The location of an object can often be determined from indirect measurements using a process called estimation. This book explains the mathematical formulation of location-estimation problems and the statistical properties of these mathematical models. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Sprache: Englisch
Verlag: SIAM - Society for Industrial and Applied Mathemat, 2020
- Softcover
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes KönigreichMispah books
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EUR 201,19
EUR 29,42 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
paperback. Zustand: New. New .Ships From Multiple Locations. book.