Knowledge (XXG)

Computational resource

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43: 193:". As the inputs get bigger, the amount of computational resources needed to solve a problem will increase. Thus, the resources needed to solve a problem are described in terms of 244:
has been used to model specific computations using the number of state transitions and alphabet size to quantify the computational effort required to solve a particular problem.
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Computational resources are useful because we can study which problems can be computed in a certain amount of each computational resource. In this way, we can determine whether
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A computational problem is generally defined in terms of its action on any valid input. Examples of problems might be "given an integer
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Signals, Systems & Computers. Conference Record of the Thirty-Second Asilomar Conference on
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Something a computer needs needed to solve a problem, such as processing steps or memory
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There has been some effort to formally quantify computing capability. A bounded
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is commonly used to describe accessible computing equipment and software. See
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for solving the problem are optimal and we can make statements about an
265:"On the Length of Programs for Computing Finite Binary Sequences" 36: 323:"Representing Information with Computational Resource Bounds" 162:, the number of steps necessary to solve a problem, and 220:
Describing generally accessible computing equipment
67:. Unsourced material may be challenged and removed. 321:Sow, Daby; Eleftheriadis, Alexandros (1998). 236:Formal quantification of computing capability 8: 158:The simplest computational resources are 127:Learn how and when to remove this message 252: 18:Memory space (computational resource) 7: 65:adding citations to reliable sources 25: 332:. Vol. 1. pp. 452–456. 177:is prime", or "given two numbers 41: 366:Computational complexity theory 141:computational complexity theory 52:needs additional citations for 1: 342:. 10.1109/ACSSC.1998.750904 147:is a resource used by some 32:Resource (computer science) 387: 29: 226:"Computational resource" 185:, calculate the product 76:"Computational resource" 371:Computational resources 210:algorithm's efficiency 153:computational problems 145:computational resource 286:10.1145/321356.321363 173:, determine whether 149:computational models 61:improve this article 30:For other uses, see 261:Gregory J., Chaitin 195:asymptotic analysis 151:in the solution of 273:Journal of the ACM 230:Utility computing 137: 136: 129: 111: 16:(Redirected from 378: 351: 350: 348: 347: 327: 318: 312: 311: 309: 308: 302: 296:. Archived from 269: 257: 214:complexity class 160:computation time 132: 125: 121: 118: 112: 110: 69: 45: 37: 21: 386: 385: 381: 380: 379: 377: 376: 375: 356: 355: 354: 345: 343: 340: 325: 320: 319: 315: 306: 304: 300: 267: 259: 258: 254: 250: 238: 222: 133: 122: 116: 113: 70: 68: 58: 46: 35: 28: 23: 22: 15: 12: 11: 5: 384: 382: 374: 373: 368: 358: 357: 353: 352: 338: 313: 280:(4): 547–569. 251: 249: 246: 242:Turing machine 237: 234: 221: 218: 199:Big O notation 135: 134: 117:September 2007 49: 47: 40: 26: 24: 14: 13: 10: 9: 6: 4: 3: 2: 383: 372: 369: 367: 364: 363: 361: 341: 339:0-7803-5148-7 335: 331: 324: 317: 314: 303:on 2007-02-05 299: 295: 291: 287: 283: 279: 275: 274: 266: 262: 256: 253: 247: 245: 243: 235: 233: 231: 227: 219: 217: 215: 211: 207: 202: 200: 196: 192: 188: 184: 180: 176: 172: 167: 165: 161: 156: 154: 150: 146: 142: 131: 128: 120: 109: 106: 102: 99: 95: 92: 88: 85: 81: 78: –  77: 73: 72:Find sources: 66: 62: 56: 55: 50:This article 48: 44: 39: 38: 33: 19: 344:. Retrieved 329: 316: 305:. Retrieved 298:the original 277: 271: 255: 239: 225: 223: 203: 190: 186: 182: 178: 174: 170: 168: 164:memory space 163: 157: 144: 138: 123: 114: 104: 97: 90: 83: 71: 59:Please help 54:verification 51: 360:Categories 346:2007-09-25 307:2007-09-25 248:References 206:algorithms 87:newspapers 294:207698337 224:The term 263:(1966). 101:scholar 336:  292:  103:  96:  89:  82:  74:  326:(PDF) 301:(PDF) 290:S2CID 268:(PDF) 108:JSTOR 94:books 334:ISBN 181:and 143:, a 80:news 282:doi 139:In 63:by 362:: 328:. 288:. 278:13 276:. 270:. 232:. 201:. 155:. 349:. 310:. 284:: 191:y 189:* 187:x 183:y 179:x 175:n 171:n 130:) 124:( 119:) 115:( 105:· 98:· 91:· 84:· 57:. 34:. 20:)

Index

Memory space (computational resource)
Resource (computer science)

verification
improve this article
adding citations to reliable sources
"Computational resource"
news
newspapers
books
scholar
JSTOR
Learn how and when to remove this message
computational complexity theory
computational models
computational problems
computation time
asymptotic analysis
Big O notation
algorithms
algorithm's efficiency
complexity class
Utility computing
Turing machine
Gregory J., Chaitin
"On the Length of Programs for Computing Finite Binary Sequences"
Journal of the ACM
doi
10.1145/321356.321363
S2CID

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