Structured Finance Modeling With Object Oriented Vba

Structured Finance Modeling with Object-Oriented VBA  

Posted by Veslefrikk at March 29, 2014
Structured Finance Modeling with Object-Oriented VBA

Evan Tick - Structured Finance Modeling with Object-Oriented VBA
Wiley | 2007 | ISBN: 0470098597 | Pages: 352 | CHM | 5.53 MB
Evan Tick - Structured Finance Modeling with Object-Oriented VBA (Repost)

Evan Tick - Structured Finance Modeling with Object-Oriented VBA
Wiley | 2007 | ISBN: 0470098597 | Pages: 352 | CHM | 5.53 MB

Structured Finance Modeling with Object-Oriented VBA  

Posted by tot167 at March 23, 2008
Structured Finance Modeling with Object-Oriented VBA

Evan Tick “Structured Finance Modeling with Object-Oriented VBA"
Wiley | 2007 | ISBN: 0470098597 | 352 pages | CHM | 5.5 Mb
Intermediate Structured Finance Modeling, with Website: Leveraging Excel, VBA, Access, and Powerpoint

Intermediate Structured Finance Modeling, with Website: Leveraging Excel, VBA, Access, and Powerpoint by William Preinitz, Matthew Niedermaier
2011 | ISBN: 0470562390 | English | 995 pages | EPUB | 34 MB

Structured Concurrency Control in Object-Oriented Databases  eBooks & eLearning

Posted by AlenMiler at March 5, 2016
Structured Concurrency Control in Object-Oriented Databases

Structured Concurrency Control in Object-Oriented Databases by Francisco Mariátegui
English | Dec. 16, 2015 | ASIN: B019HM76PS | 275 Pages | PDF (True) | 29.13 MB

In the last few years a number of object-oriented database systems have appeared in the literature, most of which addresses specific areas such as office information systems (OIS), computer aided design (CAD), computer aided manufacturing (CAM), software engineering (SE), and artificial intelligence (AI). Unfortunately, hardly any one of them addresses the problem of concurrency control from the general-purpose database point of view.
Simulation and Optimization in Finance: Modeling with MATLAB, @Risk, or VBA (repost)

Simulation and Optimization in Finance: Modeling with MATLAB, @Risk, or VBA (Frank J. Fabozzi Series) by Dessislava Pachamanova and Frank J. Fabozzi CFA
English | 2010 | ISBN: 0470371897 | ISBN-13: 9780470371893 | 766 pages | PDF | 13,2 MB

An introduction to the theory and practice of financial simulation and optimization
In recent years, there has been a notable increase in the use of simulation and optimization methods in the financial industry. Applications include portfolio allocation, risk management, pricing, and capital budgeting under uncertainty.
A Fast Track To Structured Finance Modeling, Monitoring and Valuation: Jump Start VBA (repost)

William Preinitz, "A Fast Track To Structured Finance Modeling, Monitoring and Valuation: Jump Start VBA"
2009 | ISBN: 0470398124 | 744 pages | PDF | 37 MB
Data Structures and Algorithms with Object-Oriented Design Patterns in C++ [Repost]

Data Structures and Algorithms with Object-Oriented Design Patterns in C++ by Bruno R. Preiss
Wiley | Aug 31 1998 | ISBN: 0471241342 | Pages: 688 | PDF | 17.42 MB

An object-oriented learning framework for creating good software design. Bruno Preiss presents readers with a modern, object-oriented perspective for looking at data structures and algorithms, clearly showing how to use polymorphism and inheritance, and including fragments from working and tested programs.
Simulation and Optimization in Finance: Modeling with MATLAB @Risk or VBA

Frank J. Fabozzi, Dessislava Pachamanova, "Simulation and Optimization in Finance: Modeling with MATLAB @Risk or VBA"
ISBN: 0470371897 | 2010 | EPUB | 766 pages | 14 MB
Simulation and Optimization in Finance: Modeling with MATLAB, @Risk, or VBA (Frank J. Fabozzi Series)

Simulation and Optimization in Finance: Modeling with MATLAB, @Risk, or VBA (Frank J. Fabozzi Series) by Dessislava Pachamanova and Frank J. Fabozzi CFA
English | 2010 | ISBN: 0470371897 | ISBN-13: 9780470371893 | 766 pages | PDF | 13,2 MB

An introduction to the theory and practice of financial simulation and optimization
In recent years, there has been a notable increase in the use of simulation and optimization methods in the financial industry. Applications include portfolio allocation, risk management, pricing, and capital budgeting under uncertainty.