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Macro and Micro Mathematics' Matrix Tables: Digital, Relational and Behavioral Mathematics, A systemic approach to Matrix Analysis

by Roy Hubbert
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Current price ₹2,828.00
Original price ₹3,167.00
Original price ₹3,167.00
Original price ₹3,167.00
(-11%)
₹2,828.00
Current price ₹2,828.00

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Book cover type: Paperback
  • ISBN13: 9781480176966
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Createspace Independent Publishing Platform
  • Publisher Imprint: Createspace Independent Publishing Platform
  • Publication Date:
  • Pages: 344
  • Original Price: USD 34.99
  • Language: English
  • Edition: N/A
  • Item Weight: 459 grams
  • BISAC Subject(s): Matrices

"Macro and Micro Mathematics: Digital, Relational and Behavioral Mathematics" and its supplemental text, "Macro and Micro Mathematics' Matrix Tables", are research based texts, targeted at mathematicians, college students, professors, libraries and math enthusiasts in general. Digital Mathematics is the foundation that supports Relational and Behavioral Mathematics, and includes studies of principles, which are fundamentally the embodiment of progression and regression analyses with regard to sequences, arrays and matrices. Digital Mathematics authors, legislates and enforces bylaws that govern the digital microcosm of all numeric expressions. Relational Mathematics governs the formation of internal and external relationships that exist among components of mathematical entities at their differential, sequential, composite and peripheral layers, and is divided between Micro and Macro-Mathematics. Micro Mathematics is limited to the study of internal relationships among components within the same mathematical entity; conversely, Macro Mathematics is limited to the study of external relationships among components of two or more mathematical entities. Behavioral Mathematics is the study of integers' patterns of behavior in mathematical operations. The most outstanding aspect of Digital Mathematics is its comprehension of interrelations among progression and regression, sequences, arrays and matrices. Discussions offered by Digital Mathematics occur within digital arenas where grouping constraints (comparable to associative, distributive, and commutative laws) only permit, numeric expressions with linear, variable or cumulative progression and regression as operants ("operant" is used instead of "operator"), and mathematical operations that produce similar numeric expressions as sums, differences, products and quotients. What distinguish Digital Mathematics from other publications involving matrices are its digital bylaws (i.e. digitization, de-digitization and grouping constraints), equivalences, composite to augment ratios (CARs) and operants' augment ratios (OARs). a) Digitization is the bridge between the digital and conventional domains; through digitization, the integers' digitized multiplication products were discovered, which are arrays that possess the same composite, sequential and differential attributes as their digital predecessors; arrays, in Digital Mathematics are as crucial as integers are in conventional mathematics. A lack of understanding regarding sequences and arrays' interrelationships with matrices has been a major hindrance to progress in the area of Matrix Analysis. b) Disclosures of sequences' intrinsic characteristics and systematic digital structures were provided by the discovery of de-digitization. c) Grouping constraints as digital bylaws enforce the associative, commutative, and distributive properties of integers and progressive numeric expressions, which ensure their predictability in mathematical operations. d) Equivalences, (i.e. differential, sequential and composite) offer disclosures of the functional and structural architecture of progressive numeric expressions, and integers' innate and formed relationships that occur in the formation and production of sequences, arrays and matrices. e) Composite to argument ratios (CARs) disclose the organizational structure of sequences, arrays and matrices within each digital domain. f) Operants' augment ratios (OARs) allow progressive numeric expressions, as operants, to be properly identified so their behavior in mathematical operations can be recognized and observed.

Mr. Hubbert, as an Analytical Mathematician and Researcher, over a period of more than ten years, organized, implemented, and maintained a successful system of methodical research of the digital microcosm of numeric expressions. His research concentrated on expressions with linear, variable and cumulative progressions, and the intra and inter-relationships that occur in the formation and production of sequences, arrays and matrices. Mr. Hubbert made numerous discoveries that are the core of discussions presented in his new texts "Macro and Micro Mathematics" and its supplement "Macro and Micro Mathematics' Matrix Tables" (copyrighted as "Digital Mathematics" - copyright registration: TXu001762955 / 2011-07-05). Mr. Hubbert earned his Master of Science in Computer Information Systems from Georgia State University, Atlanta, Georgia. He was registered with the Georgia State Board of Accountancy as a Certified Public Accountant, and received a Bachelor of Science in Accounting from the University of Alabama, Tuscaloosa, Alabama. As a Certified Public Accountant employed by one of the leading companies in the communication industry (i.e. Time Warner, Inc.), Mr. Hubbert has held numerous positions of leadership, including Divisional Vice President of Finance, Controller, and Director of Budgeting and Management Information Systems. Thus, he has an extensive background in managing finance and business operations, experienced in divisional level strategic planning, financial reporting and analysis, budgeting, etc...

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