Ramakrishna Ramaswamy
D.D. Kosambi
Selected Works in Mathematics and Statistics
Gebonden Engels 2017 9788132236740Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
This book fills an important gap in studies on D. D. Kosambi. For the first time, the mathematical work of Kosambi is described, collected and presented in a manner that is accessible to non-mathematicians as well. A number of his papers that are difficult to obtain in these areas are made available here. In addition, there are essays by Kosambi that have not been published earlier as well as some of his lesser known works. Each of the twenty four papers is prefaced by a commentary on the significance of the work, and where possible, extracts from technical reviews by other mathematicians.
Specificaties
ISBN13:9788132236740
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer India
Lezersrecensies
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Inhoudsopgave
A Scholar In His Time: Contemporary Views of D.D. Kosambi.- Integrating Mathematics and History: The Scholarship of D.D. Kosambi.- Constructing a D.D. Kosambi Archive.- Steps In Science.- Notes on Statistics.- An Introduction to Lectures on Dialectical Materialism.- Generalization of the Second Theorem of Bourbaki.- The Estimation of Map Distances from Recombination Values.- An Application of Stochastic Convergence.- AffinGeometrischeGrundlagen der Einheitlichen Feldtheorie.- Parallelism and Path Spaces.- A Statistical Study of the Weights of Old Indian Punch Marked Coins.- The Effect of Circulation Upon the Weight of Metallic Currency.- Valid Tests of Linguistic Hypothesis.- Statistics in Function Space.- Map Distance.- Possible Applications of the Functional Calculus.- The Method of Least Squares.- The Sampling Distribution of Primes.- Pathspaces of Higher Order.- The Efficiency of Randomization by Card Shuffling.- Lie Rings in Path Space.- The Differential Invariants of a TwoIndex Tensor.- Seasonal Variation in the Indian Birth Rate.- Seasonal Variation in India Death Rate.- The Law of Large Numbers.- Test of Significance for Multiple Observations.- Statistical Methods in Number Theory.
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