Pointers In Cobol Programs

Pointers In Cobol Programs Tutorials' title='Pointers In Cobol Programs Tutorials' />C Computer, Telephony and Electronics Glossary and Dictionary. C1. The name of a sophisticated computer language commonly used for the creation of professional grade applications. C is distinguished from other computer languages by its usage of pointers, variables that point at locations in memory. It was invented by Dennis Ritchie in the early 1. UNIX is primarily written in C. This is the C version of Hello World. Hello World. 2. The worldwide abbreviation for Celsius. CAs related to printing processes, an international envelope size, also known as ISO C5. The size is 1. 62 x 2. CA computer language based on C that uses objected oriented programming OOP design principles. Pointers In Cobol Programs Documentation' title='Pointers In Cobol Programs Documentation' />Utilize the extensive library of Profound UI widgets view product source code. A technical answer to the question how does Rhapsody stack up as a server operating system Collection of computer projects, programs, source codes, tips and resources in C, C, Java, Java Script, ASP, COBOL, Pascal. Barrabas Discography. NewUser Registration Member Login Recent Topics Forum Rules Forum FAQ User Profile. Code-Line-Counter-Pro-COBOL-Version_1.png' alt='Pointers In Cobol Programs' title='Pointers In Cobol Programs' />Heres a basic ILE CL module that will list modules of all programs in a given library into a user space. It then loops through the space one entry at a. The language is a product of Microsoft technology and is part of the Visual Studio Development package. A modem that connects to Cable TV to provide access to an online service or the Internet it provides TV service also through a large bandwidth. This technology that is available in some parts of the country is associated with broadband and is usually much faster than common modem access. The telephone company counterpart is a DSL modem. See CABLEMODEMINFO. COM as a pretty good source of information. Cache is a storage area for frequently accessed information. Retrieval of the information is faster from the cache than the originating source. There are many types of cache including RAM cache, secondary cache, disk cache, and cache memory to name a few. This is NOT to be associated with Cash though it is pronounced the same. Most browsers utilize a cache area that is used to keep track of World Wide Web pages youve been to. When the pages are cached, returning to the pages is quicker. Other information is also kept there as well such as Cookies, and similar pseudo intelligent information sources. A cache is a system for storing frequently accessed information for faster response. Cache memory on your motherboard is extra fast RAM that keeps a copy of the most recently requested bits from regular RAM. A caching proxy web server keeps the most recently requested web documents stored locally, reducing response time from often very slow remote web sites. Cache usually SRAM stores frequently requested data and instructions. It is a small block of high speed memory located between the CPU and the main memory. When your computer processor needs data, it will check the Cache first to see if it is there. If the data is not there, it will retrieve it from the slower main memory. The current cache generation is L2, or level 2. Also known as cache RAM a small, high speed memory device located between the CPU and the system DRAM. Cache is designed to supply the processor with the most frequently requested instructions and data. Cache memory can be three to five times faster than system DRAM. See cache. CADCAMA pair of words coined from acronyms, now part of the industry. CAD is short for Computer Aided Drawing and CAM is short for Computer Aided Manufacturing. Auto. CAD is the leading piece of software in the industry. See the various options to Auto. CAD at the Auto. Desk website. A tool used to do math. Some people think that they are the same as a computer. They can crunch numbers but the main difference is that a computer can take a logical branch in an operation while a calculator does not have logic as an operation. Here is one that you can use while online. Here are links for more calculators, converters and tables. A section of most Portals that gives a viewer an opportunity to see a typical calendar view of events. Some are able to be modified by the user to show the users own events. We have several calculators, converters and tables that deal with calendars and time in general. In the printing industry, a process that adjusts the color, or black and white values in the image to compensate for changes that software packages and printers make to these values. For example, in a scanned image that is printed, notice the differences between printed image and original. Calibration rescans and makes adjustments to minimize these differences. In the printing industry, a measure of thickness in various media. On phone systems with call waiting, an incoming call will usually cause a beep or other noise on the phone line. This noise can and usually does interrupt a modem session, just when your are 9. GB file ZAPPO It is recommended that call waiting be turned off before each session with the Internet or any modem connectivity activity. This can usually be accomplished simply by selecting the Disable Call Waiting option under the dialers options on the sign on screen. The most common code is 7. Some systems use other codes. Check with your local phone service provider to be sure. Disabling call waiting in this manner only disables call waiting until the phone is hung up. As of July 2. 00. Internet call waiting services available in some parts of the country. These services do NOT crash your connection. They were developed to enable people to have only one telephone line in areas where there are phone number shortages. CANAn acronym for Campus Area Network. CAN is a network which involves interconnectivity between buildings in a set geographic area, such as a campus, major hospital, large corporate enterprise, industrial park, or other such non public access environment. CAP1. An acronym for Carrierless AmplitudePhase modulation. CAP is based on the QAM modulation described above, CAP stores segments of a modulated message in memory and reassembles the message in the transmitted wave. Because the message has been broken into segments, it contains no information, however at the receiver, the message is reassembled with all of the necessary information. CAP also increases the efficiency of the QAM signal transmissions. Although early testing of CAP deemed it a suitable modulation standard for ADSL, discrete multitone modulation DMT modems have been tested to perform faster than CAP modems and include less noise disturbances in transmission. Industry jargon as an abbreviation for capacitor. Industry slang for the maximum or high end limitation for something, such as an array in programming, a value of a variable or addressable memory. Capacitance, in electricity, is the capability of a body, system, circuit, component or device for storing electric charge. Capacitance is expressed as the ratio of a stored charge in coulombs to the impressed potential difference in volts. The resulting unit of capacitance is designated as the farad. In an electric circuit the component device designed to store such an charge is called a capacitor. An ideal capacitor is one having no resistance and no inductance. The resulting characteristic is capacitance. See our Parallel Capacitance Calculator and our Series Capacitance Calculator to resolve values for such calculations. A capacitor is a energy storing device a component in electronics made up generally of two parallel conductive plates separated by a dielectric insulating material. When a voltage is applied across the plates, the electric field in the dielectric displaces electric charges, and subsequently stores the energy involved. It is assumed ideally that there are no free charges in the dielectric, and that while they are displaced, they are not free or enabled to move around as in a conductor or semi conductor. Dielectrics are categorized in two ways, polar and non polar. Molecules where the center of gravity of the negative and positive charges are at the same point, are deemed non polar. Binary search Rosetta Code. Binary search. You are encouraged to solve this task according to the task description, using any language you may know. A binary search divides a range of values into halves, and continues to narrow down the field of search until the unknown value is found. It is the classic example of a divide and conquer algorithm. As an analogy, consider the childrens game guess a number. The scorer has a secret number, and will only tell the player if their guessed number is higher than, lower than, or equal to the secret number. The player then uses this information to guess a new number. As the player, an optimal strategy for the general case is to start by choosing the ranges midpoint as the guess, and then asking whether the guess was higher, lower, or equal to the secret number. If the guess was too high, one would select the point exactly between the range midpoint and the beginning of the range. If the original guess was too low, one would ask about the point exactly between the range midpoint and the end of the range. This process repeats until one has reached the secret number. Task. Given the starting point of a range, the ending point of a range, and the secret value, implement a binary search through a sorted integer array for a certain number. Implementations can be recursive or iterative both if you can. Print out whether or not the number was in the array afterwards. If it was, print the index also. There are several binary search algorithms commonly seen. They differ by how they treat multiple values equal to the given value, and whether they indicate whether the element was found or not. For completeness we will present pseudocode for all of them. All of the following code examples use an inclusive upper bound i. N 1 initially. Any of the examples can be converted into an equivalent example using exclusive upper bound i. N initially by making the following simple changes which simply increase high by 1. N 1 to high N change high mid 1 to high mid for recursive algorithm change if high lt low to if high lt low for iterative algorithm change while low lt high to while low lt highTraditional algorithm. The algorithms are as follows from Wikipedia. The algorithms return the index of some element that equals the given value if there are multiple such elements, it returns some arbitrary one. It is also possible, when the element is not found, to return the insertion point for it the index that the value would have if it were inserted into the array. Recursive Pseudocode. N 1. Binary. SearchA0. N 1, value, low, high. Ai for all i lt low. Ai for all i high. Amid value. Binary. SearchA, value, low, mid 1. Amid lt value. Binary. SearchA, value, mid1, high. Iterative Pseudocode. Binary. SearchA0. N 1, value. high N 1. Ai for all i lt low. Ai for all i high. Amid value. Amid lt value. Leftmost insertion point. The following algorithms return the leftmost place where the given element can be correctly inserted and still maintain the sorted order. This is the lower inclusive bound of the range of elements that are equal to the given value if any. Equivalently, this is the lowest index where the element is greater than or equal to the given value since if it were any lower, it would violate the ordering, or 1 past the last index if such an element does not exist. This algorithm does not determine if the element is actually found. This algorithm only requires one comparison per level. Recursive Pseudocode. N 1. Binary. SearchLeftA0. N 1, value, low, high. Ai for all i lt low. Ai for all i high. Amid value. Binary. SearchLeftA, value, low, mid 1. Binary. SearchLeftA, value, mid1, high. Iterative Pseudocode. Binary. SearchLeftA0. N 1, value. high N 1. Ai for all i lt low. Ai for all i high. Amid value. Rightmost insertion point. The following algorithms return the rightmost place where the given element can be correctly inserted and still maintain the sorted order. This is the upper exclusive bound of the range of elements that are equal to the given value if any. Equivalently, this is the lowest index where the element is greater than the given value, or 1 past the last index if such an element does not exist. This algorithm does not determine if the element is actually found. This algorithm only requires one comparison per level. Note that these algorithms are almost exactly the same as the leftmost insertion point algorithms, except for how the inequality treats equal values. Recursive Pseudocode. N 1. Binary. SearchRightA0. N 1, value, low, high. Ai for all i lt low. Ai for all i high. Amid value. Binary. SearchRightA, value, low, mid 1. Binary. SearchRightA, value, mid1, high. Iterative Pseudocode. Binary. SearchRightA0. N 1, value. high N 1. Amid value. Extra credit. Make sure it does not have overflow bugs. The line in the pseudo code above to calculate the mean of two integers. This can occur if the array size is greater than half the maximum integer value. If signed integers are used, and low high overflows, it becomes a negative number, and dividing by 2 will still result in a negative number. Indexing an array with a negative number could produce an out of bounds exception, or other undefined behavior. If unsigned integers are used, an overflow will result in losing the largest bit, which will produce the wrong result. One way to fix it is to manually add half the range to the low number. Even though this is mathematically equivalent to the above, it is not susceptible to overflow. Another way for signed integers, possibly faster, is the following. The reason why this works is that, for signed integers, even though it overflows, when viewed as an unsigned number, the value is still the correct sum. To divide an unsigned number by 2, simply do a logical right shift. Related task. See also Binary search 0. BINSEAR CSECTUSING BINSEAR,R1. B 7. 2R1. 5 skip savearea. DC 1. 7F0 savearea. STM R1. 4,R1. 2,1. R1. 3 save previous context. ST R1. 3,4R1. 5 link backward. ST R1. 5,8R1. 3 link forward. LR R1. 3,R1. 5 set addressability. MVC LOW,H1 low1. MVC HIGH,AL2XVAL T2 highhboundtSR R6,R6 i0. MVI F,X0. 0 ffalse. LH R4,LOW low. DO WHILECH,R4,LE,HIGH do while lowlt high. LA R6,1R6 ii1. LH R1,LOW low. AH R1,HIGH high. SRA R1,1 2 by right shiftSTH R1,MID midlowhigh2. SLA R1,1 . LH R7,T 2R1 ytmidIF CH,R7,EQ,XVAL THEN if xvaly then. MVI F,X0. 1 ftrue. B EXITDO leave. ENDIF, endif. IF CH,R7,GT,XVAL THEN if y xval then. LH R2,MID mid. BCTR R2,0 1. STH R2,HIGH highmid 1. ELSE , else. LH R2,MID mid. LA R2,1R2 1. STH R2,LOW lowmid1. ENDIF, endif. LH R4,LOW low. ENDDO, enddo. EXITDO EQU exitdo XDECO R6,XDEC edit i. MVC PG4,XDEC8 output i. MVC PG46,C loopsXPRNT PG,LPG print buffer. LH R1,XVAL xval. XDECO R1,XDEC edit xval. MVC PG4,XDEC8 output xval. IF CLI,F,EQ,X0. 1 THEN if f then. MVC PG41. 0,C found at LH R1,MID mid. XDECO R1,XDEC edit mid.