JILRuntime A general purpose, register based virtual machine (VM) that supports object-oriented features, reference counting (auto destruction of data as soon as it is no longer used, no garbage collection), exceptions (handled in C/C++ or virtual machine code) and other debugging features. Objects and functions can be written in virtual machine code, as well as in C or C++, or any other language that can interface to C object code. The VM is written for maximum performance and thus is probably not suitable for embedded systems where a small memory footprint is required. Possible uses of the VM are in game development, scientific research, or to provide a stand-alone, general purpose programming environment.
TMS Component Pack Pro Over 200 productivity VCL components, including grids, planning, scheduling, calendars, advanced edit controls, web update, enhanced listbox, treeview, combos, CAB file handling, and so much more
內容如下：
1.The history of the computerized database
2.SQL Data Statements--those used to create, manipulate, and retrieve data stored in your database example statements include select, update, insert, and delete
3.SQL Schema Statements--those used to create database objects, such as tables, indexes, and constraints
4.How data sets can interact with queries
5.The importance of subqueries
6.Data conversion and manipulation via SQL s built-in functions
7.How conditional logic can be used in Data Statements
The zlibex.pas unit included in this archive will work with delphi 5, 6,and 7. if you previously downloaded my delphi 5 unit, you will notice that the unit has been renamed. this was done because borland included in its delphi 6 and 7 lib directories a zlib.dcu file and i felt it was more correct to rename my unit and force developers to have to update their code than to make developers worry about the possible file contention in delphi 6 and 7.
The module LSQ is for unconstrained linear least-squares fitting. It is
based upon Applied Statistics algorithm AS 274 (see comments at the start
of the module). A planar-rotation algorithm is used to update the QR-
factorization. This makes it suitable for updating regressions as more
data become available. The module contains a test for singularities which
is simpler and quicker than calculating the singular-value decomposition.
An important feature of the algorithm is that it does not square the condition
number. The matrix X X is not formed. Hence it is suitable for ill-
conditioned problems, such as fitting polynomials.
By taking advantage of the MODULE facility, it has been possible to remove
many of the arguments to routines. Apart from the new function VARPRD,
and a back-substitution routine BKSUB2 which it calls, the routines behave
as in AS 274.
