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'Mathematics'**

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Mathematics and plant physiology / Rose, D.A.(Ed.) ; Charles-Edwards, D.A.(Ed.) (1981)

Titre : Mathematics and plant physiology Type de document : livre Auteurs : Rose, D.A.(Ed.) ; Charles-Edwards, D.A.(Ed.) Editeur : London : Academic Press AnnÃ©e de publication : 1981 Collection : Experimental botany Importance : 320 p. ISBN/ISSN/EAN : 978-0-12-596880-5 Note gÃ©nÃ©rale : Inventaire 2008: Pointé en rayon le 26/05/2008 Langues : Anglais ( eng)Mots-clÃ©s : Mathematics Plant physiology Note de contenu : Hbk; Mathematics and plant physiology [livre] / Rose, D.A.(Ed.) ; Charles-Edwards, D.A.(Ed.) . - London : Academic Press, 1981 . - 320 p.. - (Experimental botany) .ISBN: 978-0-12-596880-5

Inventaire 2008: Pointé en rayon le 26/05/2008

Langues : Anglais (eng)

Mots-clÃ©s : Mathematics Plant physiology Note de contenu : Hbk; ## Exemplaires (1)

Code-barres Cote Support Localisation Section DisponibilitÃ© 34576 Ros_13_34576 Livre Salle des ouvrages 13_Physiologie_végétale DisponibleModels of the mind: how physics, engineering and mathematics have shaped our understanding of the brain / Grace Lindsay (2021)

Titre : Models of the mind: how physics, engineering and mathematics have shaped our understanding of the brain Type de document : livre Auteurs : Grace Lindsay, Auteur Mention d'Ã©dition : 1st ed. Editeur : London : Bloomsbury Sigma AnnÃ©e de publication : 2021 Collection : Bloomsbury Sigma series Importance : 400 p. ISBN/ISSN/EAN : 978-1-4729-6642-1 Prix : 28.00 USD Langues : Anglais ( eng)Mots-clÃ©s : Brain Learning Mental ability Intelligence Memory Mathematics Neural networks RÃ©sumÃ© : Le site Ã©diteur indique : The brain is made up of 85 billion neurons, which are connected by over 100 trillion synapses. For over a century, a diverse array of researchers have been trying to find a language that can be used to capture the essence of what these neurons do and how they communicate â€“ and how those communications create thoughts, perceptions and actions. The language they were looking for was mathematics, and we would not be able to understand the brain as we do today without it.

In Models of the Mind, author and computational neuroscientist Grace Lindsay explains how mathematical models have allowed scientists to understand and describe many of the brain's processes, including decision-making, sensory processing, quantifying memory, and more. She introduces readers to the most important concepts in modern neuroscience, and highlights the tensions that arise when bringing the abstract world of mathematical modelling into contact with the messy details of biology.

Each chapter focuses on mathematical tools that have been applied in a particular area of neuroscience, progressing from the simplest building block of the brain â€“ the individual neuron â€“ through to circuits of interacting neurons, whole brain areas and even the behaviors that brains command. Throughout Grace will look at the history of the field, starting with experiments done on neurons in frog legs at the turn of the twentieth century and building to the large models of artificial neural networks that form the basis of modern artificial intelligence. She demonstrates the value of describing the machinery of neuroscience using the elegant language of mathematics, and reveals in full the remarkable fruits of this endeavor.En ligne : https://www.bloomsbury.com/us/models-of-the-mind-9781472966421/ Models of the mind: how physics, engineering and mathematics have shaped our understanding of the brain [livre] / Grace Lindsay, Auteur . - 1st ed. . - London : Bloomsbury Sigma, 2021 . - 400 p.. - (Bloomsbury Sigma series) .ISBN: 978-1-4729-6642-1 : 28.00 USD

Langues : Anglais (eng)

Mots-clÃ©s : Brain Learning Mental ability Intelligence Memory Mathematics Neural networks RÃ©sumÃ© : Le site Ã©diteur indique : The brain is made up of 85 billion neurons, which are connected by over 100 trillion synapses. For over a century, a diverse array of researchers have been trying to find a language that can be used to capture the essence of what these neurons do and how they communicate â€“ and how those communications create thoughts, perceptions and actions. The language they were looking for was mathematics, and we would not be able to understand the brain as we do today without it.

In Models of the Mind, author and computational neuroscientist Grace Lindsay explains how mathematical models have allowed scientists to understand and describe many of the brain's processes, including decision-making, sensory processing, quantifying memory, and more. She introduces readers to the most important concepts in modern neuroscience, and highlights the tensions that arise when bringing the abstract world of mathematical modelling into contact with the messy details of biology.

Each chapter focuses on mathematical tools that have been applied in a particular area of neuroscience, progressing from the simplest building block of the brain â€“ the individual neuron â€“ through to circuits of interacting neurons, whole brain areas and even the behaviors that brains command. Throughout Grace will look at the history of the field, starting with experiments done on neurons in frog legs at the turn of the twentieth century and building to the large models of artificial neural networks that form the basis of modern artificial intelligence. She demonstrates the value of describing the machinery of neuroscience using the elegant language of mathematics, and reveals in full the remarkable fruits of this endeavor.En ligne : https://www.bloomsbury.com/us/models-of-the-mind-9781472966421/ ## Exemplaires (1)

Code-barres Cote Support Localisation Section DisponibilitÃ© 69737 LIN_11_69737 Livre Salle des ouvrages 11_Mathématiques Sorti jusqu'au 22/10/2044

Titre : Bernoulli's fallacy: statistical illogic and the crisis of modern science Type de document : livre Auteurs : Aubrey Clayton, Auteur Editeur : New York : Columbia University Press AnnÃ©e de publication : 2022 Importance : 347 p. ISBN/ISSN/EAN : 978-0-231-19995-7 Prix : 24.95 USD Note gÃ©nÃ©rale : Paperback edition 2022 Langues : Anglais ( eng)Mots-clÃ©s : Statistical methods Probability theory Mathematics Philosophy Sciences History RÃ©sumÃ© : Le site Ã©diteur indique : There is a logical flaw in the statistical methods used across experimental science. This fault is not a minor academic quibble: it underlies a reproducibility crisis now threatening entire disciplines. In an increasingly statistics-reliant society, this same deeply rooted error shapes decisions in medicine, law, and public policy with profound consequences. The foundation of the problem is a misunderstanding of probability and its role in making inferences from observations.

Aubrey Clayton traces the history of how statistics went astray, beginning with the groundbreaking work of the seventeenth-century mathematician Jacob Bernoulli and winding through gambling, astronomy, and genetics. Clayton recounts the feuds among rival schools of statistics, exploring the surprisingly human problems that gave rise to the discipline and the all-too-human shortcomings that derailed it. He highlights how influential nineteenth- and twentieth-century figures developed a statistical methodology they claimed was purely objective in order to silence critics of their political agendas, including eugenics.

Clayton provides a clear account of the mathematics and logic of probability, conveying complex concepts accessibly for readers interested in the statistical methods that frame our understanding of the world. He contends that we need to take a Bayesian approachâ€”that is, to incorporate prior knowledge when reasoning with incomplete informationâ€”in order to resolve the crisis. Ranging across math, philosophy, and culture, Bernoulliâ€™s Fallacy explains why something has gone wrong with how we use dataâ€”and how to fix it.En ligne : https://cup.columbia.edu/book/bernoullis-fallacy/9780231199940 Bernoulli's fallacy: statistical illogic and the crisis of modern science [livre] / Aubrey Clayton, Auteur . - New York : Columbia University Press, 2022 . - 347 p.ISBN: 978-0-231-19995-7 : 24.95 USD

Paperback edition 2022

Langues : Anglais (eng)

Mots-clÃ©s : Statistical methods Probability theory Mathematics Philosophy Sciences History RÃ©sumÃ© : Le site Ã©diteur indique : There is a logical flaw in the statistical methods used across experimental science. This fault is not a minor academic quibble: it underlies a reproducibility crisis now threatening entire disciplines. In an increasingly statistics-reliant society, this same deeply rooted error shapes decisions in medicine, law, and public policy with profound consequences. The foundation of the problem is a misunderstanding of probability and its role in making inferences from observations.

Aubrey Clayton traces the history of how statistics went astray, beginning with the groundbreaking work of the seventeenth-century mathematician Jacob Bernoulli and winding through gambling, astronomy, and genetics. Clayton recounts the feuds among rival schools of statistics, exploring the surprisingly human problems that gave rise to the discipline and the all-too-human shortcomings that derailed it. He highlights how influential nineteenth- and twentieth-century figures developed a statistical methodology they claimed was purely objective in order to silence critics of their political agendas, including eugenics.

Clayton provides a clear account of the mathematics and logic of probability, conveying complex concepts accessibly for readers interested in the statistical methods that frame our understanding of the world. He contends that we need to take a Bayesian approachâ€”that is, to incorporate prior knowledge when reasoning with incomplete informationâ€”in order to resolve the crisis. Ranging across math, philosophy, and culture, Bernoulliâ€™s Fallacy explains why something has gone wrong with how we use dataâ€”and how to fix it.En ligne : https://cup.columbia.edu/book/bernoullis-fallacy/9780231199940 ## Exemplaires (1)

Code-barres Cote Support Localisation Section DisponibilitÃ© 69872 CLA_21_69872 Livre Salle des ouvrages 21_Sciences_Humaines Sorti jusqu'au 25/05/2043Reconstructing evolution: new mathematical and computational advances / Gascuel, O.(Ed.) ; Steel, M.(Ed.) (2007)

Titre : Reconstructing evolution: new mathematical and computational advances Type de document : livre Auteurs : Gascuel, O.(Ed.) ; Steel, M.(Ed.) Mention d'Ã©dition : 01 Ã©d. Editeur : Oxford, UK : Oxford University Press AnnÃ©e de publication : 2007 Importance : 318 p. ISBN/ISSN/EAN : 978-0-19-820822-7 Note gÃ©nÃ©rale : Inventaire 2008: Pointé en rayon le 21/05/2008 Langues : Anglais ( eng)Mots-clÃ©s : Applied mathematics Evolution Mathematics Molecular biology Probabilities Statistics RÃ©sumÃ© : Evolution is a complex process, acting at multiple scales, from DNA sequences and proteins to populations of species. Understanding and reconstructing evolution is of major importance in numerous subfields of biology. For example, phylogenetics and sequence evolution is central to comparative genomics, attempts to decipher genomes, and molecular epidemiology. Phylogenetics is also the focal point of large-scale international biodiversity assessment initiatives such as the 'Tree of Life' project, which aims to build the evolutionary tree for all extant species. Since the pioneering work in phylogenetics in the 1960s, models have become increasingly sophisticated to account for the inherent complexity of evolution. They rely heavily on mathematics and aim at modelling and analyzing biological phenomena such as horizontal gene transfer, heterogeneity of mutation, and speciation and extinction processes. This book presents these recent models, their biological relevance, their mathematical basis, their properties, and the algorithms to infer them from data. A number of subfields from mathematics and computer science are involved: combinatorics, graph theory, stringology, probabilistic and Markov models, information theory, statistical inference, Monte Carlo methods, continuous and discrete algorithmics. This book arises from the Mathematics of Evolution & Phylogenetics meeting at the Mathematical Institute Henri PoincarÃ©, Paris, in June 2005 and is based on the outstanding state-of-the-art reports presented by the conference speakers. Ten chapters - based around five themes - provide a detailed overview of key topics, from the underlying concepts to the latest results, some of which are at the forefront of current research. [RÃ©sumÃ© Ã©diteur] Note de contenu : Hbk; Reconstructing evolution: new mathematical and computational advances [livre] / Gascuel, O.(Ed.) ; Steel, M.(Ed.) . - 01 Ã©d. . - Oxford, UK : Oxford University Press, 2007 . - 318 p.ISSN: 978-0-19-820822-7

Inventaire 2008: Pointé en rayon le 21/05/2008

Langues : Anglais (eng)

Mots-clÃ©s : Applied mathematics Evolution Mathematics Molecular biology Probabilities Statistics RÃ©sumÃ© : Evolution is a complex process, acting at multiple scales, from DNA sequences and proteins to populations of species. Understanding and reconstructing evolution is of major importance in numerous subfields of biology. For example, phylogenetics and sequence evolution is central to comparative genomics, attempts to decipher genomes, and molecular epidemiology. Phylogenetics is also the focal point of large-scale international biodiversity assessment initiatives such as the 'Tree of Life' project, which aims to build the evolutionary tree for all extant species. Since the pioneering work in phylogenetics in the 1960s, models have become increasingly sophisticated to account for the inherent complexity of evolution. They rely heavily on mathematics and aim at modelling and analyzing biological phenomena such as horizontal gene transfer, heterogeneity of mutation, and speciation and extinction processes. This book presents these recent models, their biological relevance, their mathematical basis, their properties, and the algorithms to infer them from data. A number of subfields from mathematics and computer science are involved: combinatorics, graph theory, stringology, probabilistic and Markov models, information theory, statistical inference, Monte Carlo methods, continuous and discrete algorithmics. This book arises from the Mathematics of Evolution & Phylogenetics meeting at the Mathematical Institute Henri PoincarÃ©, Paris, in June 2005 and is based on the outstanding state-of-the-art reports presented by the conference speakers. Ten chapters - based around five themes - provide a detailed overview of key topics, from the underlying concepts to the latest results, some of which are at the forefront of current research. [RÃ©sumÃ© Ã©diteur] Note de contenu : Hbk; ## Exemplaires (1)

Code-barres Cote Support Localisation Section DisponibilitÃ© 68174 Gas_9_68174 Livre Salle des ouvrages 09_Génétique_Evolution Disponible

Titre : A short course in mathematical methods with Maple Type de document : livre Auteurs : Aratyn, H. ; Rasinariu, C. Editeur : New Jersey : World Scientific AnnÃ©e de publication : 2007 Importance : 700 p. ISBN/ISSN/EAN : 978-981-256-595-2 Langues : Anglais ( eng)Mots-clÃ©s : Maple Mathematics RÃ©sumÃ© : This unique book provides a streamlined, self-contained and modern text for a one-semester mathematical methods course with an emphasis on concepts important from the application point of view. Part I of this book follows the "paper and pencil" presentation of mathematical methods that emphasizes fundamental understanding and geometrical intuition. In addition to a complete list of standard subjects, it introduces important, contemporary topics like nonlinear differential equations, chaos and solitons. Part II employs the Maple software to cover the same topics as in Part I in a computer oriented approach to instruction. Using Maple liberates students from laborious tasks while helping them to concentrate entirely on concepts and on better visualizing the mathematical content. The focus of the text is on key ideas and basic technical and geometric insights presented in a way that closely reflects how physicists and engineers actually think about mathematics. [RÃ©sumÃ© Ã©diteur] En ligne : http://books.google.fr/books?id=JFmUQGd1I3IC&printsec=frontcover A short course in mathematical methods with Maple [livre] / Aratyn, H. ; Rasinariu, C. . - New Jersey : World Scientific, 2007 . - 700 p.ISBN: 978-981-256-595-2

Langues : Anglais (eng)

Mots-clÃ©s : Maple Mathematics RÃ©sumÃ© : This unique book provides a streamlined, self-contained and modern text for a one-semester mathematical methods course with an emphasis on concepts important from the application point of view. Part I of this book follows the "paper and pencil" presentation of mathematical methods that emphasizes fundamental understanding and geometrical intuition. In addition to a complete list of standard subjects, it introduces important, contemporary topics like nonlinear differential equations, chaos and solitons. Part II employs the Maple software to cover the same topics as in Part I in a computer oriented approach to instruction. Using Maple liberates students from laborious tasks while helping them to concentrate entirely on concepts and on better visualizing the mathematical content. The focus of the text is on key ideas and basic technical and geometric insights presented in a way that closely reflects how physicists and engineers actually think about mathematics. [RÃ©sumÃ© Ã©diteur] En ligne : http://books.google.fr/books?id=JFmUQGd1I3IC&printsec=frontcover ## Exemplaires (1)

Code-barres Cote Support Localisation Section DisponibilitÃ© 68110 ARA_11_68110 Livre Salle des ouvrages 11_Mathématiques Sorti jusqu'au 25/05/2043PermalinkPermalinkPermalinkPermalinkPermalink